> ## Documentation Index
> Fetch the complete documentation index at: https://docs.requesty.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Supported Models
> Complete list of 300+ AI models available through Requesty with pricing, context windows, and capability matrix
Browse every model available through the Requesty gateway. All models are accessible via a single API endpoint using the [OpenAI-compatible SDK](/quickstart).
This page is auto-generated from the live [`GET /v1/models`](/api-reference/endpoint/models-list) endpoint. Last updated: **May 30, 2026**. For an interactive browser with filtering, visit the [Model Library](https://app.requesty.ai/model-library).
## At a Glance
Total models
Providers
Tool calling
Vision
## Popular Models
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `anthropic/claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `anthropic/claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `openai/gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `openai/gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `openai/o3` | 200K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ |
| `openai/o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `google/gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `google/gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `deepseek/deepseek-reasoner` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ |
| `deepseek/deepseek-v4-pro` | 1.0M | \$0.435 | \$0.870 | | ✓ | | ✓ |
| `deepseek/deepseek-chat` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ |
| `anthropic/claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ |
| `xai/grok-4.3` | 1.0M | \$1.25 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `mistral/mistral-large-latest` | 131K | \$0.500 | \$1.50 | | ✓ | | |
***
## Browse by Region
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@eu-central-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-north-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-3` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-east-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-west-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@eu-central-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-north-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-3` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-east-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-west-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@eu-central-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-north-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-3` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-east-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-west-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@eu-central-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-north-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-3` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-east-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-west-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@eu-central-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-north-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-3` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@us-east-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-east-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-west-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@eu-north-1` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@eu-west-2` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@us-east-1` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-east-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-west-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `qwen-max` | 32K | \$1.60 | \$6.40 | | ✓ | | | Global |
| `qwen-plus` | 131K | \$0.400 | \$1.20 | | ✓ | | | Global |
| `qwen-turbo` | 1.0M | \$0.050 | \$0.200 | | ✓ | | | Global |
| `qwen2.5-vl-32b-instruct` | 131K | \$1.40 | \$4.20 | ✓ | ✓ | | ✓ | Global |
| `qwen2.5-vl-72b-instruct` | 131K | \$2.80 | \$8.40 | ✓ | ✓ | | ✓ | Global |
| `qwen3-30b-a3b-instruct-2507` | 131K | \$0.200 | \$0.800 | ✓ | ✓ | | ✓ | Global |
| `qwen3-coder-flash` | 1.0M | \$0.300 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `qwen3-coder-plus` | 1.0M | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `qwen3-max` | 262K | \$0.861 | \$3.44 | ✓ | ✓ | | ✓ | Global |
| `qwen3.6-plus` | 1.0M | \$0.500 | \$3.00 | | ✓ | ✓ | ✓ | Global |
| `qwen3.7-max` | 1.0M | \$2.50 | \$7.50 | | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1-mini@uksouth` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@uksouth` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@uksouth` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `gpt-4o-mini@eastus2` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-mini@swedencentral` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini@eastus2` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | US |
| `gpt-5-mini@francecentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-mini@swedencentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-mini@uksouth` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-nano` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano@eastus2` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | US |
| `gpt-5-nano@francecentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-nano@swedencentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | EU |
| `gpt-5.1` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.1@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.1@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.2@eastus2` | 200K | \$1.75 | \$14.00 | | ✓ | ✓ | ✓ | US |
| `gpt-5.3-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.4-mini@eastus2` | 400K | \$0.750 | \$4.50 | | ✓ | ✓ | ✓ | US |
| `gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@uksouth` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `o4-mini@eastus2` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | US |
| `o4-mini@francecentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | EU |
| `o4-mini@swedencentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | EU |
| `o4-mini@westus3` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `openai-responses/gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `openai-responses/gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-5.2-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4-pro@eastus2` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `openai-responses/gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4-20250514` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-20250514` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `ByteDance/Seed-1.8` | 256K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-code` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-mini` | 256K | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-pro` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Kimi K2.5` | 262K | \$0.450 | \$2.25 | ✓ | ✓ | | ✓ | Global |
| `MiniMaxAI/MiniMax-M2.5` | 196K | \$0.150 | \$1.15 | | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen2.5-72B-Instruct` | 131K | \$0.230 | \$0.400 | | ✓ | | | Global |
| `Qwen/Qwen2.5-Coder-32B-Instruct` | 16K | \$0.070 | \$0.160 | | ✓ | | | Global |
| `Qwen/Qwen3-235B-A22B` | 40K | \$0.200 | \$0.600 | | ✓ | | | Global |
| `Qwen/Qwen3-235B-A22B-Instruct-2507` | 262K | \$0.071 | \$0.100 | | ✓ | | | Global |
| `Qwen/Qwen3-235B-A22B-Thinking-2507` | 262K | \$0.230 | \$2.30 | | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3-32B` | 40K | \$0.100 | \$0.300 | | ✓ | | | Global |
| `Qwen/Qwen3-Coder-480B-A35B-Instruct` | 262K | \$0.400 | \$1.60 | | ✓ | | | Global |
| `Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo` | 262K | \$0.300 | \$1.00 | | ✓ | | ✓ | Global |
| `Qwen/Qwen3-Max` | 256K | \$1.20 | \$6.00 | | ✓ | | ✓ | Global |
| `Qwen/Qwen3.5-27B` | 262K | \$0.260 | \$2.60 | ✓ | ✓ | ✓ | | Global |
| `Qwen/Qwen3.5-2B` | 262K | \$0.020 | \$0.100 | ✓ | ✓ | ✓ | | Global |
| `Qwen/Qwen3.5-35B-A3B` | 262K | \$0.140 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3.5-397B-A17B` | 262K | \$0.490 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5` | 262K | \$0.400 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5-Pro` | 1.0M | \$1.00 | \$3.00 | | ✓ | ✓ | ✓ | Global |
| `deepseek-ai/DeepSeek-R1` | 64K | \$0.850 | \$2.50 | | ✓ | | | Global |
| `deepseek-ai/DeepSeek-R1-Distill-Llama-70B` | 64K | \$0.230 | \$0.690 | | | | | Global |
| `deepseek-ai/DeepSeek-V3` | 128K | \$0.850 | \$0.900 | | ✓ | | | Global |
| `deepseek-ai/DeepSeek-V3.1` | 163K | \$0.300 | \$1.00 | | ✓ | | | Global |
| `deepseek-ai/DeepSeek-V4-Flash` | 1.0M | \$0.100 | \$0.200 | | ✓ | ✓ | ✓ | Global |
| `deepseek-ai/DeepSeek-V4-Pro` | 1.0M | \$1.30 | \$2.60 | | ✓ | | ✓ | Global |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.070 | \$0.340 | ✓ | ✓ | ✓ | | Global |
| `google/gemma-4-31B-it` | 262K | \$0.130 | \$0.380 | ✓ | ✓ | ✓ | | Global |
| `meta-llama/Llama-3.2-90B-Vision-Instruct` | 131K | \$0.350 | \$0.400 | | | | | Global |
| `meta-llama/Llama-3.3-70B-Instruct` | 131K | \$0.230 | \$0.400 | | ✓ | | | Global |
| `meta-llama/Llama-3.3-70B-Instruct-Turbo` | 131K | \$0.120 | \$0.300 | | ✓ | | | Global |
| `meta-llama/Meta-Llama-3.1-405B-Instruct` | 130K | \$0.800 | \$0.800 | | | | | Global |
| `meta-llama/Meta-Llama-3.1-70B-Instruct` | 130K | \$0.230 | \$0.400 | | ✓ | | | Global |
| `meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo` | 131K | \$0.020 | \$0.050 | | ✓ | | | Global |
| `microsoft/phi-4` | 16K | \$0.070 | \$0.140 | | | | | Global |
| `moonshotai/Kimi-K2.6` | 262K | \$0.750 | \$3.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `nvidia/NVIDIA-Nemotron-3-Super-120B-A12B` | 262K | \$0.100 | \$0.500 | | ✓ | ✓ | | Global |
| `nvidia/Nemotron-3-Nano-30B-A3B` | 262K | \$0.050 | \$0.200 | | ✓ | ✓ | | Global |
| `zai-org/GLM-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | | | Global |
| `zai-org/GLM-4.5-Air` | 131K | \$0.200 | \$1.10 | | ✓ | | | Global |
| `zai-org/GLM-5.1` | 202K | \$1.05 | \$3.50 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-chat` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-reasoner` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-v4-pro` | 1.0M | \$0.435 | \$0.870 | | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | ✓ | Global |
| `deepseek-v4-pro` | 1.0M | \$1.74 | \$3.48 | | ✓ | ✓ | ✓ | Global |
| `glm-5.1` | 202K | \$1.40 | \$4.40 | | ✓ | | ✓ | Global |
| `gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | ✓ | Global |
| `gpt-oss-20b` | 131K | \$0.070 | \$0.300 | | | ✓ | ✓ | Global |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `minimax-m2.5` | 196K | \$0.300 | \$1.20 | | ✓ | | ✓ | Global |
| `minimax-m2.7` | 196K | \$0.300 | \$1.20 | | ✓ | | ✓ | Global |
| `qwen3.6-plus` | 131K | \$0.500 | \$3.00 | ✓ | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gemini-2.0-flash-001` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@europe-west1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east5` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@europe-west1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east5` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6@europe-west1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-6@us-east5` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@europe-west1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east5` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@europe-west1` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@europe-west1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4@us-east5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `deepseek-v3.2` | 163K | \$0.560 | \$1.68 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-southwest1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-central2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-north1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west4` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west8` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-central1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east5` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-south1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview:flex` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-image-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-lite` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-flash-lite@eu` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | EU |
| `gemini-3.1-flash-lite@us` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | US |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-pro-preview:flex` | 1.0M | \$1.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash@eu` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-3.5-flash@us` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2` | 262K | \$0.600 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `openai/gpt-oss-120b` | 131K | \$0.150 | \$0.750 | | ✓ | | | Global |
| `openai/gpt-oss-20b` | 131K | \$0.100 | \$0.500 | | ✓ | | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `glm-5.1` | 202K | \$1.40 | \$4.40 | | ✓ | | | EU |
| `kimi-k2.6` | 262K | \$0.800 | \$3.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `minimax-m2.5` | 196K | \$0.280 | \$1.10 | | ✓ | ✓ | ✓ | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `MiniMax-M2` | 200K | \$0.300 | \$1.20 | | ✓ | | | Global |
| `MiniMax-M2.5` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.5-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `codestral-latest` | 131K | \$0.300 | \$0.900 | | ✓ | | | EU |
| `devstral-latest` | 256K | \$0.400 | \$2.00 | | ✓ | | | EU |
| `devstral-medium-2507` | 131K | \$0.400 | \$2.00 | | ✓ | | | EU |
| `devstral-small-2507` | 131K | \$0.100 | \$0.300 | | ✓ | | | EU |
| `devstral-small-latest` | 131K | \$0.100 | \$0.300 | | ✓ | | | EU |
| `mistral-large-latest` | 131K | \$0.500 | \$1.50 | | ✓ | | | EU |
| `mistral-medium-3-5` | 262K | \$1.50 | \$7.50 | ✓ | ✓ | ✓ | | EU |
| `mistral-medium-latest` | 131K | \$0.400 | \$2.00 | | ✓ | | | EU |
| `mistral-small-2503` | 32K | \$0.100 | \$0.300 | | ✓ | | | EU |
| `mistral-small-2603` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | | EU |
| `mistral-small-latest` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | | EU |
| `open-mistral-7b` | 32K | \$0.250 | \$0.250 | | ✓ | | | EU |
| `pixtral-large-latest` | 131K | \$2.00 | \$5.00 | | ✓ | | | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2-0711-preview` | 131K | \$0.600 | \$2.50 | | ✓ | | | Global |
| `kimi-k2-0905-preview` | 131K | \$0.600 | \$2.50 | | ✓ | | | Global |
| `kimi-k2-thinking` | 131K | \$0.600 | \$2.50 | | ✓ | | | Global |
| `kimi-k2-thinking-turbo` | 131K | \$0.600 | \$2.50 | | ✓ | | | Global |
| `kimi-k2-turbo-preview` | 131K | \$1.20 | \$5.00 | | ✓ | | | Global |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-ai/DeepSeek-V3.2` | 164K | \$0.300 | \$0.450 | | ✓ | ✓ | | Global |
| `meta-llama/Llama-3.3-70B-Instruct` | 128K | \$0.130 | \$0.400 | | ✓ | | | EU |
| `moonshotai/kimi-k2.5` | 256K | \$0.500 | \$2.50 | ✓ | ✓ | ✓ | | EU |
| `nousresearch/hermes-4-405b` | 128K | \$1.00 | \$3.00 | | ✓ | ✓ | | EU |
| `nvidia/nemotron-3-nano-omni` | 300K | \$0.060 | \$0.240 | | ✓ | ✓ | | EU |
| `openai/gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | | EU |
| `zai-org/glm-5.1` | 200K | \$1.40 | \$4.40 | | ✓ | ✓ | | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `GLM-5` | 202K | \$1.00 | \$3.20 | | ✓ | ✓ | ✓ | Global |
| `Sao10K/L3-8B-Stheno-v3.2` | 8K | \$0.050 | \$0.050 | | | | | Global |
| `baichuan/baichuan-m2-32b` | 131K | \$0.070 | \$0.070 | | | | | Global |
| `baidu/ernie-4.5-300b-a47b-paddle` | 123K | \$0.280 | \$1.10 | | | | | Global |
| `deepseek/deepseek-prover-v2-671b` | 160K | \$0.700 | \$2.50 | | | | | Global |
| `deepseek/deepseek-r1` | 64K | \$4.00 | \$4.00 | | ✓ | | | Global |
| `deepseek/deepseek-r1-distill-llama-70b` | 32K | \$0.800 | \$0.800 | | | | | Global |
| `deepseek/deepseek-r1-distill-qwen-14b` | 128K | \$0.150 | \$0.150 | | ✓ | | | Global |
| `deepseek/deepseek-r1-distill-qwen-32b` | 12K | \$0.300 | \$0.300 | | ✓ | | | Global |
| `deepseek/deepseek-r1-turbo` | 64K | \$0.700 | \$2.50 | | ✓ | | | Global |
| `deepseek/deepseek-v3-0324` | 128K | \$0.400 | \$1.30 | | ✓ | | | Global |
| `deepseek/deepseek-v3-turbo` | 128K | \$0.400 | \$1.30 | | ✓ | | | Global |
| `deepseek/deepseek-v3.2` | 163K | \$0.269 | \$0.400 | | ✓ | ✓ | ✓ | Global |
| `deepseek/deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | | Global |
| `deepseek/deepseek_v3` | 64K | \$0.890 | \$0.890 | | ✓ | | | Global |
| `google/gemma-4-26b-a4b-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | | Global |
| `gryphe/mythomax-l2-13b` | 4K | \$0.090 | \$0.090 | | ✓ | | | Global |
| `inclusionai/ling-2.6-1t` | 262K | \$0.300 | \$2.50 | | ✓ | | | Global |
| `inclusionai/ling-2.6-flash` | 262K | \$0.100 | \$0.300 | | ✓ | | | Global |
| `inclusionai/ring-2.6-1t` | 262K | \$0.300 | \$2.50 | | ✓ | ✓ | | Global |
| `kwaipilot/kat-coder-pro` | 256K | \$0.300 | \$1.20 | | ✓ | | | Global |
| `meta-llama/llama-3-70b-instruct` | 8K | \$0.510 | \$0.740 | | | | | Global |
| `meta-llama/llama-3-8b-instruct` | 8K | \$0.040 | \$0.040 | | | | | Global |
| `meta-llama/llama-3.1-8b-instruct` | 16K | \$0.050 | \$0.050 | | | | | Global |
| `meta-llama/llama-3.2-1b-instruct` | 131K | \$0.020 | \$0.020 | | | | | Global |
| `meta-llama/llama-3.2-3b-instruct` | 32K | \$0.030 | \$0.050 | | ✓ | | | Global |
| `meta-llama/llama-3.3-70b-instruct` | 131K | \$0.390 | \$0.390 | | ✓ | | | Global |
| `meta-llama/llama-4-maverick-17b-128e-instruct-fp8` | 1.0M | \$0.200 | \$0.850 | | | | | Global |
| `microsoft/wizardlm-2-8x22b` | 65K | \$0.620 | \$0.620 | | | | | Global |
| `minimax/minimax-m2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `minimax/minimax-m2.7-highspeed` | 204K | \$0.600 | \$2.40 | | ✓ | ✓ | | Global |
| `mistralai/mistral-nemo` | 131K | \$0.170 | \$0.170 | | | | | Global |
| `moonshotai/kimi-k2-instruct` | 131K | \$0.570 | \$2.30 | | ✓ | | | Global |
| `nousresearch/hermes-2-pro-llama-3-8b` | 8K | \$0.140 | \$0.140 | | | | | Global |
| `qwen/qwen-2.5-72b-instruct` | 32K | \$0.380 | \$0.400 | | ✓ | | | Global |
| `qwen/qwen2.5-vl-72b-instruct` | 96K | \$0.800 | \$0.800 | | | | | Global |
| `qwen/qwen3-235b-a22b-fp8` | 128K | \$0.200 | \$0.800 | | | | | Global |
| `qwen/qwen3.5-397b-a17b` | 262K | \$0.600 | \$3.60 | ✓ | ✓ | ✓ | | Global |
| `sao10k/l3-70b-euryale-v2.1` | 16K | \$1.48 | \$1.48 | | | | | Global |
| `sao10k/l3-8b-lunaris` | 8K | \$0.050 | \$0.050 | | | | | Global |
| `sao10k/l31-70b-euryale-v2.2` | 16K | \$1.48 | \$1.48 | | | | | Global |
| `xiaomimimo/mimo-v2-flash` | 262K | \$0.100 | \$0.300 | | ✓ | ✓ | | Global |
| `xiaomimimo/mimo-v2-pro` | 1.0M | \$2.00 | \$6.00 | | ✓ | ✓ | | Global |
| `zai-org/glm-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | | | Global |
| `zai-org/glm-4.6` | 204K | \$0.600 | \$2.20 | | ✓ | | | Global |
| `zai-org/glm-5.1` | 204K | \$1.38 | \$4.40 | | ✓ | ✓ | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-05-13` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-08-06` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-11-20` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-mini` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:flex` | 400K | \$0.125 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:priority` | 400K | \$0.450 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano:flex` | 400K | \$0.025 | \$0.200 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `gpt-5:flex` | 400K | \$0.625 | \$5.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5:priority` | 400K | \$2.50 | \$20.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1-pro` | 200K | \$150 | \$600 | ✓ | ✓ | ✓ | | Global |
| `o1:high` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:low` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:medium` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3` | 200K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-deep-research` | 100K | \$10.00 | \$40.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3:flex` | 200K | \$1.00 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini-deep-research` | 100K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini:flex` | 200K | \$0.550 | \$2.20 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-pro` | 400K | \$15.00 | \$120 | ✓ | ✓ | ✓ | | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-pro` | 200K | \$20.00 | \$80.00 | ✓ | ✓ | ✓ | | Global |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `Kimi K2.5` | 262K | \$0.600 | \$2.80 | ✓ | ✓ | | | Global |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `parasail-gemma3-27b-it` | 128K | \$0.300 | \$0.500 | | ✓ | | | Global |
| `parasail-qwen25-vl-72b-instruct` | 32K | \$0.700 | \$0.700 | ✓ | ✓ | | | Global |
| `parasail-qwen3-235b-a22b-instruct-2507` | 262K | \$0.150 | \$0.850 | | ✓ | | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `sonar` | 131K | \$1.00 | \$1.00 | | | | | Global |
| `sonar-pro` | 204K | \$3.00 | \$15.00 | | | | | Global |
| `sonar-reasoning-pro` | 131K | \$2.00 | \$8.00 | | | | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | --------- |
| `GLM-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-4.6` | 200K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-4.7` | 200K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-5` | 200K | \$1.00 | \$3.20 | ✓ | ✓ | ✓ | ✓ | Singapore |
| `GLM-5.1` | 200K | \$1.40 | \$4.40 | ✓ | ✓ | ✓ | ✓ | Singapore |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `grok-3` | 131K | \$5.00 | \$25.00 | | ✓ | | | Global |
| `grok-3-mini` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-3-mini:high` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-3-mini:low` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-4` | 256K | \$3.00 | \$15.00 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-fast` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ | Global |
| `grok-4-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ | Global |
| `grok-4.2-beta` | 2.0M | \$2.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-4.3` | 1.0M | \$1.25 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-build-0.1` | 256K | \$1.00 | \$2.00 | | ✓ | | ✓ | Global |
| `grok-code-fast-1` | 256K | \$0.200 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `claude-haiku-4-5@eu-central-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-haiku-4-5@eu-north-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-haiku-4-5@eu-west-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-haiku-4-5@eu-west-3` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-opus-4-5@eu-central-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-5@eu-north-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-5@eu-west-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-5@eu-west-3` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@eu-central-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@eu-north-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@eu-west-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@eu-west-3` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@eu-central-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@eu-north-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@eu-west-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@eu-west-3` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@eu-central-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@eu-north-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@eu-west-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@eu-west-3` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `kimi-k2.5@eu-north-1` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ |
| `kimi-k2.5@eu-west-2` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| --------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `gpt-4.1-mini@uksouth` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gpt-4.1-nano@uksouth` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `gpt-4.1@uksouth` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `gpt-5-mini@francecentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ |
| `gpt-5-mini@swedencentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ |
| `gpt-5-mini@uksouth` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ |
| `gpt-5-nano@francecentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ |
| `gpt-5-nano@swedencentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ |
| `gpt-5.1@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.1@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5@uksouth` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `o4-mini@francecentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o4-mini@swedencentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `openai-responses/gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `claude-haiku-4-5@europe-west1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-opus-4-5@europe-west1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-6@europe-west1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@europe-west1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@europe-west1` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@europe-southwest1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3.1-flash-lite@eu` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ |
| `gemini-3.5-flash@eu` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| -------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `glm-5.1` | 202K | \$1.40 | \$4.40 | | ✓ | | |
| `kimi-k2.6` | 262K | \$0.800 | \$3.50 | ✓ | ✓ | ✓ | ✓ |
| `minimax-m2.5` | 196K | \$0.280 | \$1.10 | | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `codestral-latest` | 131K | \$0.300 | \$0.900 | | ✓ | | |
| `devstral-latest` | 256K | \$0.400 | \$2.00 | | ✓ | | |
| `devstral-medium-2507` | 131K | \$0.400 | \$2.00 | | ✓ | | |
| `devstral-small-2507` | 131K | \$0.100 | \$0.300 | | ✓ | | |
| `devstral-small-latest` | 131K | \$0.100 | \$0.300 | | ✓ | | |
| `mistral-large-latest` | 131K | \$0.500 | \$1.50 | | ✓ | | |
| `mistral-medium-3-5` | 262K | \$1.50 | \$7.50 | ✓ | ✓ | ✓ | |
| `mistral-medium-latest` | 131K | \$0.400 | \$2.00 | | ✓ | | |
| `mistral-small-2503` | 32K | \$0.100 | \$0.300 | | ✓ | | |
| `mistral-small-2603` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | |
| `mistral-small-latest` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | |
| `open-mistral-7b` | 32K | \$0.250 | \$0.250 | | ✓ | | |
| `pixtral-large-latest` | 131K | \$2.00 | \$5.00 | | ✓ | | |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ----------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `meta-llama/Llama-3.3-70B-Instruct` | 128K | \$0.130 | \$0.400 | | ✓ | | |
| `moonshotai/kimi-k2.5` | 256K | \$0.500 | \$2.50 | ✓ | ✓ | ✓ | |
| `nousresearch/hermes-4-405b` | 128K | \$1.00 | \$3.00 | | ✓ | ✓ | |
| `nvidia/nemotron-3-nano-omni` | 300K | \$0.060 | \$0.240 | | ✓ | ✓ | |
| `openai/gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | |
| `zai-org/glm-5.1` | 200K | \$1.40 | \$4.40 | | ✓ | ✓ | |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `claude-haiku-4-5@us-east-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-haiku-4-5@us-east-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-haiku-4-5@us-west-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-opus-4-5@us-east-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-5@us-east-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-5@us-west-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@us-east-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@us-east-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@us-west-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@us-east-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@us-east-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@us-west-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@us-east-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@us-east-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@us-west-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `kimi-k2.5@us-east-1` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| `kimi-k2.5@us-east-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| `kimi-k2.5@us-west-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ---------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `gpt-5-mini@eastus2` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ |
| `gpt-5-nano@eastus2` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ |
| `gpt-5.1@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.2@eastus2` | 200K | \$1.75 | \$14.00 | | ✓ | ✓ | ✓ |
| `gpt-5.3-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4-mini@eastus2` | 400K | \$0.750 | \$4.50 | | ✓ | ✓ | ✓ |
| `gpt-5@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `o4-mini@eastus2` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o4-mini@westus3` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `openai-responses/gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-5.2-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `openai-responses/gpt-5.4-pro@eastus2` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ |
| `openai-responses/gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `openai-responses/gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `openai-responses/gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `claude-haiku-4-5@us-east5` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ |
| `claude-opus-4-5@us-east5` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-6@us-east5` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5@us-east5` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6@us-east5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@us-east4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image@us-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3.1-flash-lite@us` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ |
| `gemini-3.5-flash@us` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `qwen-max` | 32K | \$1.60 | \$6.40 | | ✓ | | |
| `qwen-plus` | 131K | \$0.400 | \$1.20 | | ✓ | | |
| `qwen-turbo` | 1.0M | \$0.050 | \$0.200 | | ✓ | | |
| `qwen2.5-vl-32b-instruct` | 131K | \$1.40 | \$4.20 | ✓ | ✓ | | ✓ |
| `qwen2.5-vl-72b-instruct` | 131K | \$2.80 | \$8.40 | ✓ | ✓ | | ✓ |
| `qwen3-30b-a3b-instruct-2507` | 131K | \$0.200 | \$0.800 | ✓ | ✓ | | ✓ |
| `qwen3-coder-flash` | 1.0M | \$0.300 | \$1.50 | ✓ | ✓ | | ✓ |
| `qwen3-coder-plus` | 1.0M | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ |
| `qwen3-max` | 262K | \$0.861 | \$3.44 | ✓ | ✓ | | ✓ |
| `qwen3.6-plus` | 1.0M | \$0.500 | \$3.00 | | ✓ | ✓ | ✓ |
| `qwen3.7-max` | 1.0M | \$2.50 | \$7.50 | | ✓ | | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ---------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ |
| `gpt-4o-mini@eastus2` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ |
| `gpt-4o-mini@swedencentral` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ |
| `gpt-5` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-mini` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ |
| `gpt-5-nano` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ |
| `gpt-5.1` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ |
| `openai-responses/gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ |
| `openai-responses/gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ |
| `openai-responses/gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ---------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `claude-opus-4-20250514` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-20250514` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| --------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `ByteDance/Seed-1.8` | 256K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ |
| `ByteDance/Seed-2.0-code` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| `ByteDance/Seed-2.0-mini` | 256K | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `ByteDance/Seed-2.0-pro` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| `Kimi K2.5` | 262K | \$0.450 | \$2.25 | ✓ | ✓ | | ✓ |
| `MiniMaxAI/MiniMax-M2.5` | 196K | \$0.150 | \$1.15 | | ✓ | ✓ | ✓ |
| `Qwen/Qwen2.5-72B-Instruct` | 131K | \$0.230 | \$0.400 | | ✓ | | |
| `Qwen/Qwen2.5-Coder-32B-Instruct` | 16K | \$0.070 | \$0.160 | | ✓ | | |
| `Qwen/Qwen3-235B-A22B` | 40K | \$0.200 | \$0.600 | | ✓ | | |
| `Qwen/Qwen3-235B-A22B-Instruct-2507` | 262K | \$0.071 | \$0.100 | | ✓ | | |
| `Qwen/Qwen3-235B-A22B-Thinking-2507` | 262K | \$0.230 | \$2.30 | | ✓ | ✓ | ✓ |
| `Qwen/Qwen3-32B` | 40K | \$0.100 | \$0.300 | | ✓ | | |
| `Qwen/Qwen3-Coder-480B-A35B-Instruct` | 262K | \$0.400 | \$1.60 | | ✓ | | |
| `Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo` | 262K | \$0.300 | \$1.00 | | ✓ | | ✓ |
| `Qwen/Qwen3-Max` | 256K | \$1.20 | \$6.00 | | ✓ | | ✓ |
| `Qwen/Qwen3.5-27B` | 262K | \$0.260 | \$2.60 | ✓ | ✓ | ✓ | |
| `Qwen/Qwen3.5-2B` | 262K | \$0.020 | \$0.100 | ✓ | ✓ | ✓ | |
| `Qwen/Qwen3.5-35B-A3B` | 262K | \$0.140 | \$1.00 | ✓ | ✓ | ✓ | ✓ |
| `Qwen/Qwen3.5-397B-A17B` | 262K | \$0.490 | \$3.60 | ✓ | ✓ | ✓ | ✓ |
| `XiaomiMiMo/MiMo-V2.5` | 262K | \$0.400 | \$2.00 | ✓ | ✓ | ✓ | ✓ |
| `XiaomiMiMo/MiMo-V2.5-Pro` | 1.0M | \$1.00 | \$3.00 | | ✓ | ✓ | ✓ |
| `deepseek-ai/DeepSeek-R1` | 64K | \$0.850 | \$2.50 | | ✓ | | |
| `deepseek-ai/DeepSeek-R1-Distill-Llama-70B` | 64K | \$0.230 | \$0.690 | | | | |
| `deepseek-ai/DeepSeek-V3` | 128K | \$0.850 | \$0.900 | | ✓ | | |
| `deepseek-ai/DeepSeek-V3.1` | 163K | \$0.300 | \$1.00 | | ✓ | | |
| `deepseek-ai/DeepSeek-V4-Flash` | 1.0M | \$0.100 | \$0.200 | | ✓ | ✓ | ✓ |
| `deepseek-ai/DeepSeek-V4-Pro` | 1.0M | \$1.30 | \$2.60 | | ✓ | | ✓ |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.070 | \$0.340 | ✓ | ✓ | ✓ | |
| `google/gemma-4-31B-it` | 262K | \$0.130 | \$0.380 | ✓ | ✓ | ✓ | |
| `meta-llama/Llama-3.2-90B-Vision-Instruct` | 131K | \$0.350 | \$0.400 | | | | |
| `meta-llama/Llama-3.3-70B-Instruct` | 131K | \$0.230 | \$0.400 | | ✓ | | |
| `meta-llama/Llama-3.3-70B-Instruct-Turbo` | 131K | \$0.120 | \$0.300 | | ✓ | | |
| `meta-llama/Meta-Llama-3.1-405B-Instruct` | 130K | \$0.800 | \$0.800 | | | | |
| `meta-llama/Meta-Llama-3.1-70B-Instruct` | 130K | \$0.230 | \$0.400 | | ✓ | | |
| `meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo` | 131K | \$0.020 | \$0.050 | | ✓ | | |
| `microsoft/phi-4` | 16K | \$0.070 | \$0.140 | | | | |
| `moonshotai/Kimi-K2.6` | 262K | \$0.750 | \$3.50 | ✓ | ✓ | ✓ | ✓ |
| `nvidia/NVIDIA-Nemotron-3-Super-120B-A12B` | 262K | \$0.100 | \$0.500 | | ✓ | ✓ | |
| `nvidia/Nemotron-3-Nano-30B-A3B` | 262K | \$0.050 | \$0.200 | | ✓ | ✓ | |
| `zai-org/GLM-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | | |
| `zai-org/GLM-4.5-Air` | 131K | \$0.200 | \$1.10 | | ✓ | | |
| `zai-org/GLM-5.1` | 202K | \$1.05 | \$3.50 | | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `deepseek-chat` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ |
| `deepseek-reasoner` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ |
| `deepseek-v4-pro` | 1.0M | \$0.435 | \$0.870 | | ✓ | | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | ✓ |
| `deepseek-v4-pro` | 1.0M | \$1.74 | \$3.48 | | ✓ | ✓ | ✓ |
| `glm-5.1` | 202K | \$1.40 | \$4.40 | | ✓ | | ✓ |
| `gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | ✓ |
| `gpt-oss-20b` | 131K | \$0.070 | \$0.300 | | | ✓ | ✓ |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ |
| `minimax-m2.5` | 196K | \$0.300 | \$1.20 | | ✓ | | ✓ |
| `minimax-m2.7` | 196K | \$0.300 | \$1.20 | | ✓ | | ✓ |
| `qwen3.6-plus` | 131K | \$0.500 | \$3.00 | ✓ | ✓ | | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `gemini-2.0-flash-001` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| --------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-1@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-opus-4@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@europe-west1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `claude-sonnet-4@us-east5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `deepseek-v3.2` | 163K | \$0.560 | \$1.68 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-image` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@europe-central2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@europe-north1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@europe-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@europe-west4` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@europe-west8` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@us-central1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@us-east1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@us-east5` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@us-south1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash-lite@us-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3-flash-preview:flex` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3-pro-image-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3.1-flash-lite` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3.1-pro-preview:flex` | 1.0M | \$1.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ |
| `gemini-3.5-flash` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ |
| `kimi-k2` | 262K | \$0.600 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| --------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `openai/gpt-oss-120b` | 131K | \$0.150 | \$0.750 | | ✓ | | |
| `openai/gpt-oss-20b` | 131K | \$0.100 | \$0.500 | | ✓ | | |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `MiniMax-M2` | 200K | \$0.300 | \$1.20 | | ✓ | | |
| `MiniMax-M2.5` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ |
| `MiniMax-M2.5-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ |
| `MiniMax-M2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ |
| `MiniMax-M2.7-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `kimi-k2-0711-preview` | 131K | \$0.600 | \$2.50 | | ✓ | | |
| `kimi-k2-0905-preview` | 131K | \$0.600 | \$2.50 | | ✓ | | |
| `kimi-k2-thinking` | 131K | \$0.600 | \$2.50 | | ✓ | | |
| `kimi-k2-thinking-turbo` | 131K | \$0.600 | \$2.50 | | ✓ | | |
| `kimi-k2-turbo-preview` | 131K | \$1.20 | \$5.00 | | ✓ | | |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| --------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `deepseek-ai/DeepSeek-V3.2` | 164K | \$0.300 | \$0.450 | | ✓ | ✓ | |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| --------------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `GLM-5` | 202K | \$1.00 | \$3.20 | | ✓ | ✓ | ✓ |
| `Sao10K/L3-8B-Stheno-v3.2` | 8K | \$0.050 | \$0.050 | | | | |
| `baichuan/baichuan-m2-32b` | 131K | \$0.070 | \$0.070 | | | | |
| `baidu/ernie-4.5-300b-a47b-paddle` | 123K | \$0.280 | \$1.10 | | | | |
| `deepseek/deepseek-prover-v2-671b` | 160K | \$0.700 | \$2.50 | | | | |
| `deepseek/deepseek-r1` | 64K | \$4.00 | \$4.00 | | ✓ | | |
| `deepseek/deepseek-r1-distill-llama-70b` | 32K | \$0.800 | \$0.800 | | | | |
| `deepseek/deepseek-r1-distill-qwen-14b` | 128K | \$0.150 | \$0.150 | | ✓ | | |
| `deepseek/deepseek-r1-distill-qwen-32b` | 12K | \$0.300 | \$0.300 | | ✓ | | |
| `deepseek/deepseek-r1-turbo` | 64K | \$0.700 | \$2.50 | | ✓ | | |
| `deepseek/deepseek-v3-0324` | 128K | \$0.400 | \$1.30 | | ✓ | | |
| `deepseek/deepseek-v3-turbo` | 128K | \$0.400 | \$1.30 | | ✓ | | |
| `deepseek/deepseek-v3.2` | 163K | \$0.269 | \$0.400 | | ✓ | ✓ | ✓ |
| `deepseek/deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | |
| `deepseek/deepseek_v3` | 64K | \$0.890 | \$0.890 | | ✓ | | |
| `google/gemma-4-26b-a4b-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | |
| `gryphe/mythomax-l2-13b` | 4K | \$0.090 | \$0.090 | | ✓ | | |
| `inclusionai/ling-2.6-1t` | 262K | \$0.300 | \$2.50 | | ✓ | | |
| `inclusionai/ling-2.6-flash` | 262K | \$0.100 | \$0.300 | | ✓ | | |
| `inclusionai/ring-2.6-1t` | 262K | \$0.300 | \$2.50 | | ✓ | ✓ | |
| `kwaipilot/kat-coder-pro` | 256K | \$0.300 | \$1.20 | | ✓ | | |
| `meta-llama/llama-3-70b-instruct` | 8K | \$0.510 | \$0.740 | | | | |
| `meta-llama/llama-3-8b-instruct` | 8K | \$0.040 | \$0.040 | | | | |
| `meta-llama/llama-3.1-8b-instruct` | 16K | \$0.050 | \$0.050 | | | | |
| `meta-llama/llama-3.2-1b-instruct` | 131K | \$0.020 | \$0.020 | | | | |
| `meta-llama/llama-3.2-3b-instruct` | 32K | \$0.030 | \$0.050 | | ✓ | | |
| `meta-llama/llama-3.3-70b-instruct` | 131K | \$0.390 | \$0.390 | | ✓ | | |
| `meta-llama/llama-4-maverick-17b-128e-instruct-fp8` | 1.0M | \$0.200 | \$0.850 | | | | |
| `microsoft/wizardlm-2-8x22b` | 65K | \$0.620 | \$0.620 | | | | |
| `minimax/minimax-m2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ |
| `minimax/minimax-m2.7-highspeed` | 204K | \$0.600 | \$2.40 | | ✓ | ✓ | |
| `mistralai/mistral-nemo` | 131K | \$0.170 | \$0.170 | | | | |
| `moonshotai/kimi-k2-instruct` | 131K | \$0.570 | \$2.30 | | ✓ | | |
| `nousresearch/hermes-2-pro-llama-3-8b` | 8K | \$0.140 | \$0.140 | | | | |
| `qwen/qwen-2.5-72b-instruct` | 32K | \$0.380 | \$0.400 | | ✓ | | |
| `qwen/qwen2.5-vl-72b-instruct` | 96K | \$0.800 | \$0.800 | | | | |
| `qwen/qwen3-235b-a22b-fp8` | 128K | \$0.200 | \$0.800 | | | | |
| `qwen/qwen3.5-397b-a17b` | 262K | \$0.600 | \$3.60 | ✓ | ✓ | ✓ | |
| `sao10k/l3-70b-euryale-v2.1` | 16K | \$1.48 | \$1.48 | | | | |
| `sao10k/l3-8b-lunaris` | 8K | \$0.050 | \$0.050 | | | | |
| `sao10k/l31-70b-euryale-v2.2` | 16K | \$1.48 | \$1.48 | | | | |
| `xiaomimimo/mimo-v2-flash` | 262K | \$0.100 | \$0.300 | | ✓ | ✓ | |
| `xiaomimimo/mimo-v2-pro` | 1.0M | \$2.00 | \$6.00 | | ✓ | ✓ | |
| `zai-org/glm-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | | |
| `zai-org/glm-4.6` | 204K | \$0.600 | \$2.20 | | ✓ | | |
| `zai-org/glm-5.1` | 204K | \$1.38 | \$4.40 | | ✓ | ✓ | |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ |
| `gpt-4o` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ |
| `gpt-4o-2024-05-13` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ |
| `gpt-4o-2024-08-06` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ |
| `gpt-4o-2024-11-20` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ |
| `gpt-4o-mini` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-mini:flex` | 400K | \$0.125 | \$1.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-mini:priority` | 400K | \$0.450 | \$3.60 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-nano:flex` | 400K | \$0.025 | \$0.200 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.1-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.2-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | |
| `gpt-5:flex` | 400K | \$0.625 | \$5.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5:priority` | 400K | \$2.50 | \$20.00 | ✓ | ✓ | ✓ | ✓ |
| `o1` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ |
| `o1-pro` | 200K | \$150 | \$600 | ✓ | ✓ | ✓ | |
| `o1:high` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ |
| `o1:low` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ |
| `o1:medium` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ |
| `o3` | 200K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ |
| `o3-deep-research` | 100K | \$10.00 | \$40.00 | ✓ | ✓ | ✓ | ✓ |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o3-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o3-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o3-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o3:flex` | 200K | \$1.00 | \$4.00 | ✓ | ✓ | ✓ | ✓ |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o4-mini-deep-research` | 100K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ |
| `o4-mini:flex` | 200K | \$0.550 | \$2.20 | | ✓ | ✓ | ✓ |
| `o4-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o4-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o4-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| --------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5-pro` | 400K | \$15.00 | \$120 | ✓ | ✓ | ✓ | |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.1-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.2-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.3-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| `o3-pro` | 200K | \$20.00 | \$80.00 | ✓ | ✓ | ✓ | |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ---------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `Kimi K2.5` | 262K | \$0.600 | \$2.80 | ✓ | ✓ | | |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | ✓ |
| `parasail-gemma3-27b-it` | 128K | \$0.300 | \$0.500 | | ✓ | | |
| `parasail-qwen25-vl-72b-instruct` | 32K | \$0.700 | \$0.700 | ✓ | ✓ | | |
| `parasail-qwen3-235b-a22b-instruct-2507` | 262K | \$0.150 | \$0.850 | | ✓ | | |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| --------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `sonar` | 131K | \$1.00 | \$1.00 | | | | |
| `sonar-pro` | 204K | \$3.00 | \$15.00 | | | | |
| `sonar-reasoning-pro` | 131K | \$2.00 | \$8.00 | | | | |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- |
| `grok-3` | 131K | \$5.00 | \$25.00 | | ✓ | | |
| `grok-3-mini` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | |
| `grok-3-mini:high` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | |
| `grok-3-mini:low` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | |
| `grok-4` | 256K | \$3.00 | \$15.00 | ✓ | ✓ | | ✓ |
| `grok-4-1-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ |
| `grok-4-1-fast-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ |
| `grok-4-fast` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ |
| `grok-4-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ |
| `grok-4.2-beta` | 2.0M | \$2.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ |
| `grok-4.3` | 1.0M | \$1.25 | \$2.50 | ✓ | ✓ | ✓ | ✓ |
| `grok-build-0.1` | 256K | \$1.00 | \$2.00 | | ✓ | | ✓ |
| `grok-code-fast-1` | 256K | \$0.200 | \$1.50 | ✓ | ✓ | | ✓ |
***
## Browse by Capability
Models that can process images in chat completions.
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@eu-central-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-north-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-3` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-east-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-west-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@eu-central-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-north-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-3` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-east-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-west-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@eu-central-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-north-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-3` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-east-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-west-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@eu-central-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-north-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-3` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-east-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-west-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@eu-central-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-north-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-3` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@us-east-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-east-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-west-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@eu-north-1` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@eu-west-2` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@us-east-1` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-east-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-west-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `qwen2.5-vl-32b-instruct` | 131K | \$1.40 | \$4.20 | ✓ | ✓ | | ✓ | Global |
| `qwen2.5-vl-72b-instruct` | 131K | \$2.80 | \$8.40 | ✓ | ✓ | | ✓ | Global |
| `qwen3-30b-a3b-instruct-2507` | 131K | \$0.200 | \$0.800 | ✓ | ✓ | | ✓ | Global |
| `qwen3-coder-flash` | 1.0M | \$0.300 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `qwen3-coder-plus` | 1.0M | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `qwen3-max` | 262K | \$0.861 | \$3.44 | ✓ | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1-mini@uksouth` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@uksouth` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@uksouth` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `gpt-4o-mini@eastus2` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-mini@swedencentral` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.1@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.1@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.3-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@uksouth` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `openai-responses/gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `openai-responses/gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `openai-responses/gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-5.2-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4-pro@eastus2` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `openai-responses/gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4-20250514` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-20250514` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `ByteDance/Seed-1.8` | 256K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-code` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-mini` | 256K | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-pro` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Kimi K2.5` | 262K | \$0.450 | \$2.25 | ✓ | ✓ | | ✓ | Global |
| `Qwen/Qwen3.5-27B` | 262K | \$0.260 | \$2.60 | ✓ | ✓ | ✓ | | Global |
| `Qwen/Qwen3.5-2B` | 262K | \$0.020 | \$0.100 | ✓ | ✓ | ✓ | | Global |
| `Qwen/Qwen3.5-35B-A3B` | 262K | \$0.140 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3.5-397B-A17B` | 262K | \$0.490 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5` | 262K | \$0.400 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.070 | \$0.340 | ✓ | ✓ | ✓ | | Global |
| `google/gemma-4-31B-it` | 262K | \$0.130 | \$0.380 | ✓ | ✓ | ✓ | | Global |
| `moonshotai/Kimi-K2.6` | 262K | \$0.750 | \$3.50 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `qwen3.6-plus` | 131K | \$0.500 | \$3.00 | ✓ | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gemini-2.0-flash-001` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@europe-west1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east5` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@europe-west1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east5` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6@europe-west1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-6@us-east5` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@europe-west1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east5` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@europe-west1` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@europe-west1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4@us-east5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `deepseek-v3.2` | 163K | \$0.560 | \$1.68 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-southwest1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-central2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-north1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west4` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west8` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-central1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east5` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-south1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview:flex` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-image-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-lite` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-flash-lite@eu` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | EU |
| `gemini-3.1-flash-lite@us` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | US |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-pro-preview:flex` | 1.0M | \$1.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash@eu` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-3.5-flash@us` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2` | 262K | \$0.600 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2.6` | 262K | \$0.800 | \$3.50 | ✓ | ✓ | ✓ | ✓ | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `MiniMax-M2.5` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.5-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `mistral-medium-3-5` | 262K | \$1.50 | \$7.50 | ✓ | ✓ | ✓ | | EU |
| `mistral-small-2603` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | | EU |
| `mistral-small-latest` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `moonshotai/kimi-k2.5` | 256K | \$0.500 | \$2.50 | ✓ | ✓ | ✓ | | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `google/gemma-4-26b-a4b-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | | Global |
| `minimax/minimax-m2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `qwen/qwen3.5-397b-a17b` | 262K | \$0.600 | \$3.60 | ✓ | ✓ | ✓ | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-05-13` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-08-06` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-11-20` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-mini` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:flex` | 400K | \$0.125 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:priority` | 400K | \$0.450 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano:flex` | 400K | \$0.025 | \$0.200 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `gpt-5:flex` | 400K | \$0.625 | \$5.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5:priority` | 400K | \$2.50 | \$20.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1-pro` | 200K | \$150 | \$600 | ✓ | ✓ | ✓ | | Global |
| `o1:high` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:low` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:medium` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3` | 200K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-deep-research` | 100K | \$10.00 | \$40.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3:flex` | 200K | \$1.00 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini-deep-research` | 100K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-pro` | 400K | \$15.00 | \$120 | ✓ | ✓ | ✓ | | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `o3-pro` | 200K | \$20.00 | \$80.00 | ✓ | ✓ | ✓ | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `Kimi K2.5` | 262K | \$0.600 | \$2.80 | ✓ | ✓ | | | Global |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `parasail-qwen25-vl-72b-instruct` | 32K | \$0.700 | \$0.700 | ✓ | ✓ | | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | --------- |
| `GLM-5` | 200K | \$1.00 | \$3.20 | ✓ | ✓ | ✓ | ✓ | Singapore |
| `GLM-5.1` | 200K | \$1.40 | \$4.40 | ✓ | ✓ | ✓ | ✓ | Singapore |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `grok-4` | 256K | \$3.00 | \$15.00 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4.2-beta` | 2.0M | \$2.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-4.3` | 1.0M | \$1.25 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-code-fast-1` | 256K | \$0.200 | \$1.50 | ✓ | ✓ | | ✓ | Global |
Models that support function/tool calling.
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@eu-central-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-north-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-3` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-east-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-west-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@eu-central-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-north-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-3` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-east-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-west-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@eu-central-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-north-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-3` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-east-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-west-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@eu-central-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-north-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-3` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-east-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-west-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@eu-central-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-north-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-3` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@us-east-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-east-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-west-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@eu-north-1` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@eu-west-2` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@us-east-1` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-east-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-west-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `qwen-max` | 32K | \$1.60 | \$6.40 | | ✓ | | | Global |
| `qwen-plus` | 131K | \$0.400 | \$1.20 | | ✓ | | | Global |
| `qwen-turbo` | 1.0M | \$0.050 | \$0.200 | | ✓ | | | Global |
| `qwen2.5-vl-32b-instruct` | 131K | \$1.40 | \$4.20 | ✓ | ✓ | | ✓ | Global |
| `qwen2.5-vl-72b-instruct` | 131K | \$2.80 | \$8.40 | ✓ | ✓ | | ✓ | Global |
| `qwen3-30b-a3b-instruct-2507` | 131K | \$0.200 | \$0.800 | ✓ | ✓ | | ✓ | Global |
| `qwen3-coder-flash` | 1.0M | \$0.300 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `qwen3-coder-plus` | 1.0M | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `qwen3-max` | 262K | \$0.861 | \$3.44 | ✓ | ✓ | | ✓ | Global |
| `qwen3.6-plus` | 1.0M | \$0.500 | \$3.00 | | ✓ | ✓ | ✓ | Global |
| `qwen3.7-max` | 1.0M | \$2.50 | \$7.50 | | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1-mini@uksouth` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@uksouth` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@uksouth` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `gpt-4o-mini@eastus2` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-mini@swedencentral` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini@eastus2` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | US |
| `gpt-5-mini@francecentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-mini@swedencentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-mini@uksouth` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-nano` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano@eastus2` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | US |
| `gpt-5-nano@francecentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-nano@swedencentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | EU |
| `gpt-5.1` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.1@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.1@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.2@eastus2` | 200K | \$1.75 | \$14.00 | | ✓ | ✓ | ✓ | US |
| `gpt-5.3-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.4-mini@eastus2` | 400K | \$0.750 | \$4.50 | | ✓ | ✓ | ✓ | US |
| `gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@uksouth` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `o4-mini@eastus2` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | US |
| `o4-mini@francecentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | EU |
| `o4-mini@swedencentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | EU |
| `o4-mini@westus3` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `openai-responses/gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `openai-responses/gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-5.2-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4-pro@eastus2` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `openai-responses/gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4-20250514` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-20250514` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `ByteDance/Seed-1.8` | 256K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-code` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-mini` | 256K | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-pro` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Kimi K2.5` | 262K | \$0.450 | \$2.25 | ✓ | ✓ | | ✓ | Global |
| `MiniMaxAI/MiniMax-M2.5` | 196K | \$0.150 | \$1.15 | | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen2.5-72B-Instruct` | 131K | \$0.230 | \$0.400 | | ✓ | | | Global |
| `Qwen/Qwen2.5-Coder-32B-Instruct` | 16K | \$0.070 | \$0.160 | | ✓ | | | Global |
| `Qwen/Qwen3-235B-A22B` | 40K | \$0.200 | \$0.600 | | ✓ | | | Global |
| `Qwen/Qwen3-235B-A22B-Instruct-2507` | 262K | \$0.071 | \$0.100 | | ✓ | | | Global |
| `Qwen/Qwen3-235B-A22B-Thinking-2507` | 262K | \$0.230 | \$2.30 | | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3-32B` | 40K | \$0.100 | \$0.300 | | ✓ | | | Global |
| `Qwen/Qwen3-Coder-480B-A35B-Instruct` | 262K | \$0.400 | \$1.60 | | ✓ | | | Global |
| `Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo` | 262K | \$0.300 | \$1.00 | | ✓ | | ✓ | Global |
| `Qwen/Qwen3-Max` | 256K | \$1.20 | \$6.00 | | ✓ | | ✓ | Global |
| `Qwen/Qwen3.5-27B` | 262K | \$0.260 | \$2.60 | ✓ | ✓ | ✓ | | Global |
| `Qwen/Qwen3.5-2B` | 262K | \$0.020 | \$0.100 | ✓ | ✓ | ✓ | | Global |
| `Qwen/Qwen3.5-35B-A3B` | 262K | \$0.140 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3.5-397B-A17B` | 262K | \$0.490 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5` | 262K | \$0.400 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5-Pro` | 1.0M | \$1.00 | \$3.00 | | ✓ | ✓ | ✓ | Global |
| `deepseek-ai/DeepSeek-R1` | 64K | \$0.850 | \$2.50 | | ✓ | | | Global |
| `deepseek-ai/DeepSeek-V3` | 128K | \$0.850 | \$0.900 | | ✓ | | | Global |
| `deepseek-ai/DeepSeek-V3.1` | 163K | \$0.300 | \$1.00 | | ✓ | | | Global |
| `deepseek-ai/DeepSeek-V4-Flash` | 1.0M | \$0.100 | \$0.200 | | ✓ | ✓ | ✓ | Global |
| `deepseek-ai/DeepSeek-V4-Pro` | 1.0M | \$1.30 | \$2.60 | | ✓ | | ✓ | Global |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.070 | \$0.340 | ✓ | ✓ | ✓ | | Global |
| `google/gemma-4-31B-it` | 262K | \$0.130 | \$0.380 | ✓ | ✓ | ✓ | | Global |
| `meta-llama/Llama-3.3-70B-Instruct` | 131K | \$0.230 | \$0.400 | | ✓ | | | Global |
| `meta-llama/Llama-3.3-70B-Instruct-Turbo` | 131K | \$0.120 | \$0.300 | | ✓ | | | Global |
| `meta-llama/Meta-Llama-3.1-70B-Instruct` | 130K | \$0.230 | \$0.400 | | ✓ | | | Global |
| `meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo` | 131K | \$0.020 | \$0.050 | | ✓ | | | Global |
| `moonshotai/Kimi-K2.6` | 262K | \$0.750 | \$3.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `nvidia/NVIDIA-Nemotron-3-Super-120B-A12B` | 262K | \$0.100 | \$0.500 | | ✓ | ✓ | | Global |
| `nvidia/Nemotron-3-Nano-30B-A3B` | 262K | \$0.050 | \$0.200 | | ✓ | ✓ | | Global |
| `zai-org/GLM-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | | | Global |
| `zai-org/GLM-4.5-Air` | 131K | \$0.200 | \$1.10 | | ✓ | | | Global |
| `zai-org/GLM-5.1` | 202K | \$1.05 | \$3.50 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-chat` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-reasoner` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-v4-pro` | 1.0M | \$0.435 | \$0.870 | | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | ✓ | Global |
| `deepseek-v4-pro` | 1.0M | \$1.74 | \$3.48 | | ✓ | ✓ | ✓ | Global |
| `glm-5.1` | 202K | \$1.40 | \$4.40 | | ✓ | | ✓ | Global |
| `gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | ✓ | Global |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `minimax-m2.5` | 196K | \$0.300 | \$1.20 | | ✓ | | ✓ | Global |
| `minimax-m2.7` | 196K | \$0.300 | \$1.20 | | ✓ | | ✓ | Global |
| `qwen3.6-plus` | 131K | \$0.500 | \$3.00 | ✓ | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gemini-2.0-flash-001` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@europe-west1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east5` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@europe-west1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east5` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6@europe-west1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-6@us-east5` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@europe-west1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east5` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@europe-west1` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@europe-west1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4@us-east5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `deepseek-v3.2` | 163K | \$0.560 | \$1.68 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-southwest1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-central2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-north1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west4` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west8` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-central1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east5` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-south1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview:flex` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-image-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-lite` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-flash-lite@eu` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | EU |
| `gemini-3.1-flash-lite@us` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | US |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-pro-preview:flex` | 1.0M | \$1.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash@eu` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-3.5-flash@us` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2` | 262K | \$0.600 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `openai/gpt-oss-120b` | 131K | \$0.150 | \$0.750 | | ✓ | | | Global |
| `openai/gpt-oss-20b` | 131K | \$0.100 | \$0.500 | | ✓ | | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `glm-5.1` | 202K | \$1.40 | \$4.40 | | ✓ | | | EU |
| `kimi-k2.6` | 262K | \$0.800 | \$3.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `minimax-m2.5` | 196K | \$0.280 | \$1.10 | | ✓ | ✓ | ✓ | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `MiniMax-M2` | 200K | \$0.300 | \$1.20 | | ✓ | | | Global |
| `MiniMax-M2.5` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.5-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `codestral-latest` | 131K | \$0.300 | \$0.900 | | ✓ | | | EU |
| `devstral-latest` | 256K | \$0.400 | \$2.00 | | ✓ | | | EU |
| `devstral-medium-2507` | 131K | \$0.400 | \$2.00 | | ✓ | | | EU |
| `devstral-small-2507` | 131K | \$0.100 | \$0.300 | | ✓ | | | EU |
| `devstral-small-latest` | 131K | \$0.100 | \$0.300 | | ✓ | | | EU |
| `mistral-large-latest` | 131K | \$0.500 | \$1.50 | | ✓ | | | EU |
| `mistral-medium-3-5` | 262K | \$1.50 | \$7.50 | ✓ | ✓ | ✓ | | EU |
| `mistral-medium-latest` | 131K | \$0.400 | \$2.00 | | ✓ | | | EU |
| `mistral-small-2503` | 32K | \$0.100 | \$0.300 | | ✓ | | | EU |
| `mistral-small-2603` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | | EU |
| `mistral-small-latest` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | | EU |
| `open-mistral-7b` | 32K | \$0.250 | \$0.250 | | ✓ | | | EU |
| `pixtral-large-latest` | 131K | \$2.00 | \$5.00 | | ✓ | | | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2-0711-preview` | 131K | \$0.600 | \$2.50 | | ✓ | | | Global |
| `kimi-k2-0905-preview` | 131K | \$0.600 | \$2.50 | | ✓ | | | Global |
| `kimi-k2-thinking` | 131K | \$0.600 | \$2.50 | | ✓ | | | Global |
| `kimi-k2-thinking-turbo` | 131K | \$0.600 | \$2.50 | | ✓ | | | Global |
| `kimi-k2-turbo-preview` | 131K | \$1.20 | \$5.00 | | ✓ | | | Global |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-ai/DeepSeek-V3.2` | 164K | \$0.300 | \$0.450 | | ✓ | ✓ | | Global |
| `meta-llama/Llama-3.3-70B-Instruct` | 128K | \$0.130 | \$0.400 | | ✓ | | | EU |
| `moonshotai/kimi-k2.5` | 256K | \$0.500 | \$2.50 | ✓ | ✓ | ✓ | | EU |
| `nousresearch/hermes-4-405b` | 128K | \$1.00 | \$3.00 | | ✓ | ✓ | | EU |
| `nvidia/nemotron-3-nano-omni` | 300K | \$0.060 | \$0.240 | | ✓ | ✓ | | EU |
| `openai/gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | | EU |
| `zai-org/glm-5.1` | 200K | \$1.40 | \$4.40 | | ✓ | ✓ | | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `GLM-5` | 202K | \$1.00 | \$3.20 | | ✓ | ✓ | ✓ | Global |
| `deepseek/deepseek-r1` | 64K | \$4.00 | \$4.00 | | ✓ | | | Global |
| `deepseek/deepseek-r1-distill-qwen-14b` | 128K | \$0.150 | \$0.150 | | ✓ | | | Global |
| `deepseek/deepseek-r1-distill-qwen-32b` | 12K | \$0.300 | \$0.300 | | ✓ | | | Global |
| `deepseek/deepseek-r1-turbo` | 64K | \$0.700 | \$2.50 | | ✓ | | | Global |
| `deepseek/deepseek-v3-0324` | 128K | \$0.400 | \$1.30 | | ✓ | | | Global |
| `deepseek/deepseek-v3-turbo` | 128K | \$0.400 | \$1.30 | | ✓ | | | Global |
| `deepseek/deepseek-v3.2` | 163K | \$0.269 | \$0.400 | | ✓ | ✓ | ✓ | Global |
| `deepseek/deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | | Global |
| `deepseek/deepseek_v3` | 64K | \$0.890 | \$0.890 | | ✓ | | | Global |
| `google/gemma-4-26b-a4b-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | | Global |
| `gryphe/mythomax-l2-13b` | 4K | \$0.090 | \$0.090 | | ✓ | | | Global |
| `inclusionai/ling-2.6-1t` | 262K | \$0.300 | \$2.50 | | ✓ | | | Global |
| `inclusionai/ling-2.6-flash` | 262K | \$0.100 | \$0.300 | | ✓ | | | Global |
| `inclusionai/ring-2.6-1t` | 262K | \$0.300 | \$2.50 | | ✓ | ✓ | | Global |
| `kwaipilot/kat-coder-pro` | 256K | \$0.300 | \$1.20 | | ✓ | | | Global |
| `meta-llama/llama-3.2-3b-instruct` | 32K | \$0.030 | \$0.050 | | ✓ | | | Global |
| `meta-llama/llama-3.3-70b-instruct` | 131K | \$0.390 | \$0.390 | | ✓ | | | Global |
| `minimax/minimax-m2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `minimax/minimax-m2.7-highspeed` | 204K | \$0.600 | \$2.40 | | ✓ | ✓ | | Global |
| `moonshotai/kimi-k2-instruct` | 131K | \$0.570 | \$2.30 | | ✓ | | | Global |
| `qwen/qwen-2.5-72b-instruct` | 32K | \$0.380 | \$0.400 | | ✓ | | | Global |
| `qwen/qwen3.5-397b-a17b` | 262K | \$0.600 | \$3.60 | ✓ | ✓ | ✓ | | Global |
| `xiaomimimo/mimo-v2-flash` | 262K | \$0.100 | \$0.300 | | ✓ | ✓ | | Global |
| `xiaomimimo/mimo-v2-pro` | 1.0M | \$2.00 | \$6.00 | | ✓ | ✓ | | Global |
| `zai-org/glm-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | | | Global |
| `zai-org/glm-4.6` | 204K | \$0.600 | \$2.20 | | ✓ | | | Global |
| `zai-org/glm-5.1` | 204K | \$1.38 | \$4.40 | | ✓ | ✓ | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-05-13` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-08-06` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-11-20` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-mini` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:flex` | 400K | \$0.125 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:priority` | 400K | \$0.450 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano:flex` | 400K | \$0.025 | \$0.200 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `gpt-5:flex` | 400K | \$0.625 | \$5.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5:priority` | 400K | \$2.50 | \$20.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1-pro` | 200K | \$150 | \$600 | ✓ | ✓ | ✓ | | Global |
| `o1:high` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:low` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:medium` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3` | 200K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-deep-research` | 100K | \$10.00 | \$40.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3:flex` | 200K | \$1.00 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini-deep-research` | 100K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini:flex` | 200K | \$0.550 | \$2.20 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-pro` | 400K | \$15.00 | \$120 | ✓ | ✓ | ✓ | | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-pro` | 200K | \$20.00 | \$80.00 | ✓ | ✓ | ✓ | | Global |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `Kimi K2.5` | 262K | \$0.600 | \$2.80 | ✓ | ✓ | | | Global |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `parasail-gemma3-27b-it` | 128K | \$0.300 | \$0.500 | | ✓ | | | Global |
| `parasail-qwen25-vl-72b-instruct` | 32K | \$0.700 | \$0.700 | ✓ | ✓ | | | Global |
| `parasail-qwen3-235b-a22b-instruct-2507` | 262K | \$0.150 | \$0.850 | | ✓ | | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | --------- |
| `GLM-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-4.6` | 200K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-4.7` | 200K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-5` | 200K | \$1.00 | \$3.20 | ✓ | ✓ | ✓ | ✓ | Singapore |
| `GLM-5.1` | 200K | \$1.40 | \$4.40 | ✓ | ✓ | ✓ | ✓ | Singapore |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `grok-3` | 131K | \$5.00 | \$25.00 | | ✓ | | | Global |
| `grok-3-mini` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-3-mini:high` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-3-mini:low` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-4` | 256K | \$3.00 | \$15.00 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-fast` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ | Global |
| `grok-4-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ | Global |
| `grok-4.2-beta` | 2.0M | \$2.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-4.3` | 1.0M | \$1.25 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-build-0.1` | 256K | \$1.00 | \$2.00 | | ✓ | | ✓ | Global |
| `grok-code-fast-1` | 256K | \$0.200 | \$1.50 | ✓ | ✓ | | ✓ | Global |
Models with extended thinking and chain-of-thought.
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@eu-central-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-north-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-3` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-east-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-west-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@eu-central-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-north-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-3` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-east-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-west-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@eu-central-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-north-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-3` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-east-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-west-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@eu-central-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-north-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-3` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@us-east-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-east-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-west-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@eu-north-1` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@eu-west-2` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@us-east-1` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-east-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-west-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `qwen3.6-plus` | 1.0M | \$0.500 | \$3.00 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@uksouth` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini@eastus2` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | US |
| `gpt-5-mini@francecentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-mini@swedencentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-mini@uksouth` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-nano` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano@eastus2` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | US |
| `gpt-5-nano@francecentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-nano@swedencentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | EU |
| `gpt-5.1` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.1@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.1@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.2@eastus2` | 200K | \$1.75 | \$14.00 | | ✓ | ✓ | ✓ | US |
| `gpt-5.3-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.4-mini@eastus2` | 400K | \$0.750 | \$4.50 | | ✓ | ✓ | ✓ | US |
| `gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@uksouth` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `o4-mini@eastus2` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | US |
| `o4-mini@francecentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | EU |
| `o4-mini@swedencentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | EU |
| `o4-mini@westus3` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.2-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4-pro@eastus2` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `openai-responses/gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4-20250514` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-20250514` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `ByteDance/Seed-1.8` | 256K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-code` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-mini` | 256K | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-pro` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMaxAI/MiniMax-M2.5` | 196K | \$0.150 | \$1.15 | | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3-235B-A22B-Thinking-2507` | 262K | \$0.230 | \$2.30 | | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3.5-27B` | 262K | \$0.260 | \$2.60 | ✓ | ✓ | ✓ | | Global |
| `Qwen/Qwen3.5-2B` | 262K | \$0.020 | \$0.100 | ✓ | ✓ | ✓ | | Global |
| `Qwen/Qwen3.5-35B-A3B` | 262K | \$0.140 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3.5-397B-A17B` | 262K | \$0.490 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5` | 262K | \$0.400 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5-Pro` | 1.0M | \$1.00 | \$3.00 | | ✓ | ✓ | ✓ | Global |
| `deepseek-ai/DeepSeek-V4-Flash` | 1.0M | \$0.100 | \$0.200 | | ✓ | ✓ | ✓ | Global |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.070 | \$0.340 | ✓ | ✓ | ✓ | | Global |
| `google/gemma-4-31B-it` | 262K | \$0.130 | \$0.380 | ✓ | ✓ | ✓ | | Global |
| `moonshotai/Kimi-K2.6` | 262K | \$0.750 | \$3.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `nvidia/NVIDIA-Nemotron-3-Super-120B-A12B` | 262K | \$0.100 | \$0.500 | | ✓ | ✓ | | Global |
| `nvidia/Nemotron-3-Nano-30B-A3B` | 262K | \$0.050 | \$0.200 | | ✓ | ✓ | | Global |
| `zai-org/GLM-5.1` | 202K | \$1.05 | \$3.50 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | ✓ | Global |
| `deepseek-v4-pro` | 1.0M | \$1.74 | \$3.48 | | ✓ | ✓ | ✓ | Global |
| `gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | ✓ | Global |
| `gpt-oss-20b` | 131K | \$0.070 | \$0.300 | | | ✓ | ✓ | Global |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@europe-west1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east5` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6@europe-west1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-6@us-east5` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@europe-west1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east5` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@europe-west1` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@europe-west1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4@us-east5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `deepseek-v3.2` | 163K | \$0.560 | \$1.68 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-southwest1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-central2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-north1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west4` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west8` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-central1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east5` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-south1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview:flex` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-image-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-pro-preview:flex` | 1.0M | \$1.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash@eu` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-3.5-flash@us` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2` | 262K | \$0.600 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2.6` | 262K | \$0.800 | \$3.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `minimax-m2.5` | 196K | \$0.280 | \$1.10 | | ✓ | ✓ | ✓ | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `MiniMax-M2.5` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.5-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `mistral-medium-3-5` | 262K | \$1.50 | \$7.50 | ✓ | ✓ | ✓ | | EU |
| `mistral-small-2603` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | | EU |
| `mistral-small-latest` | 256K | \$0.150 | \$0.600 | ✓ | ✓ | ✓ | | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-ai/DeepSeek-V3.2` | 164K | \$0.300 | \$0.450 | | ✓ | ✓ | | Global |
| `moonshotai/kimi-k2.5` | 256K | \$0.500 | \$2.50 | ✓ | ✓ | ✓ | | EU |
| `nousresearch/hermes-4-405b` | 128K | \$1.00 | \$3.00 | | ✓ | ✓ | | EU |
| `nvidia/nemotron-3-nano-omni` | 300K | \$0.060 | \$0.240 | | ✓ | ✓ | | EU |
| `openai/gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | | EU |
| `zai-org/glm-5.1` | 200K | \$1.40 | \$4.40 | | ✓ | ✓ | | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `GLM-5` | 202K | \$1.00 | \$3.20 | | ✓ | ✓ | ✓ | Global |
| `deepseek/deepseek-v3.2` | 163K | \$0.269 | \$0.400 | | ✓ | ✓ | ✓ | Global |
| `deepseek/deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | | Global |
| `google/gemma-4-26b-a4b-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | | Global |
| `inclusionai/ring-2.6-1t` | 262K | \$0.300 | \$2.50 | | ✓ | ✓ | | Global |
| `minimax/minimax-m2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `minimax/minimax-m2.7-highspeed` | 204K | \$0.600 | \$2.40 | | ✓ | ✓ | | Global |
| `qwen/qwen3.5-397b-a17b` | 262K | \$0.600 | \$3.60 | ✓ | ✓ | ✓ | | Global |
| `xiaomimimo/mimo-v2-flash` | 262K | \$0.100 | \$0.300 | | ✓ | ✓ | | Global |
| `xiaomimimo/mimo-v2-pro` | 1.0M | \$2.00 | \$6.00 | | ✓ | ✓ | | Global |
| `zai-org/glm-5.1` | 204K | \$1.38 | \$4.40 | | ✓ | ✓ | | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:flex` | 400K | \$0.125 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:priority` | 400K | \$0.450 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano:flex` | 400K | \$0.025 | \$0.200 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `gpt-5:flex` | 400K | \$0.625 | \$5.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5:priority` | 400K | \$2.50 | \$20.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1-pro` | 200K | \$150 | \$600 | ✓ | ✓ | ✓ | | Global |
| `o1:high` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:low` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:medium` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3` | 200K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-deep-research` | 100K | \$10.00 | \$40.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3:flex` | 200K | \$1.00 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini-deep-research` | 100K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini:flex` | 200K | \$0.550 | \$2.20 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-pro` | 400K | \$15.00 | \$120 | ✓ | ✓ | ✓ | | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | | Global |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-pro` | 200K | \$20.00 | \$80.00 | ✓ | ✓ | ✓ | | Global |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | --------- |
| `GLM-4.5` | 131K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-4.6` | 200K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-4.7` | 200K | \$0.600 | \$2.20 | | ✓ | ✓ | | Singapore |
| `GLM-5` | 200K | \$1.00 | \$3.20 | ✓ | ✓ | ✓ | ✓ | Singapore |
| `GLM-5.1` | 200K | \$1.40 | \$4.40 | ✓ | ✓ | ✓ | ✓ | Singapore |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `grok-3-mini` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-3-mini:high` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-3-mini:low` | 131K | \$0.300 | \$0.500 | | ✓ | ✓ | | Global |
| `grok-4.2-beta` | 2.0M | \$2.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-4.3` | 1.0M | \$1.25 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
Models that support prompt caching for cost reduction.
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@eu-central-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-north-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-3` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-east-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-west-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@eu-central-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-north-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-3` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-east-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-west-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@eu-central-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-north-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-3` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-east-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-west-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@eu-central-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-north-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-3` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-east-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-west-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@eu-central-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-north-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-3` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@us-east-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-east-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-west-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@eu-north-1` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@eu-west-2` | 128K | \$0.720 | \$3.60 | ✓ | ✓ | ✓ | ✓ | EU |
| `kimi-k2.5@us-east-1` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-east-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2.5@us-west-2` | 128K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | US |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `qwen2.5-vl-32b-instruct` | 131K | \$1.40 | \$4.20 | ✓ | ✓ | | ✓ | Global |
| `qwen2.5-vl-72b-instruct` | 131K | \$2.80 | \$8.40 | ✓ | ✓ | | ✓ | Global |
| `qwen3-30b-a3b-instruct-2507` | 131K | \$0.200 | \$0.800 | ✓ | ✓ | | ✓ | Global |
| `qwen3-coder-flash` | 1.0M | \$0.300 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `qwen3-coder-plus` | 1.0M | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `qwen3-max` | 262K | \$0.861 | \$3.44 | ✓ | ✓ | | ✓ | Global |
| `qwen3.6-plus` | 1.0M | \$0.500 | \$3.00 | | ✓ | ✓ | ✓ | Global |
| `qwen3.7-max` | 1.0M | \$2.50 | \$7.50 | | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1-mini@uksouth` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@uksouth` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@uksouth` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `gpt-4o-mini@eastus2` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-mini@swedencentral` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini@eastus2` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | US |
| `gpt-5-mini@francecentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-mini@swedencentral` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-mini@uksouth` | 200K | \$0.250 | \$2.00 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-nano` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano@eastus2` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | US |
| `gpt-5-nano@francecentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | EU |
| `gpt-5-nano@swedencentral` | 200K | \$0.050 | \$0.400 | | ✓ | ✓ | ✓ | EU |
| `gpt-5.1` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.1@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.1@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5.2@eastus2` | 200K | \$1.75 | \$14.00 | | ✓ | ✓ | ✓ | US |
| `gpt-5.3-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5.4-mini@eastus2` | 400K | \$0.750 | \$4.50 | | ✓ | ✓ | ✓ | US |
| `gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5@eastus2` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | US |
| `gpt-5@francecentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@swedencentral` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gpt-5@uksouth` | 200K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `o4-mini@eastus2` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | US |
| `o4-mini@francecentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | EU |
| `o4-mini@swedencentral` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | EU |
| `o4-mini@westus3` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `openai-responses/gpt-4.1-mini@eastus2` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-mini@francecentral` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-mini@westus3` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `openai-responses/gpt-4.1-nano@eastus2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1-nano@francecentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-nano@swedencentral` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1-nano@westus3` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1@eastus2` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-4.1@francecentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1@swedencentral` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | EU |
| `openai-responses/gpt-4.1@westus3` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | US |
| `openai-responses/gpt-5.2-codex@eastus2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4-pro@eastus2` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@eastus2` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@francecentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.4@swedencentral` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `openai-responses/gpt-5.5@eastus2` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `openai-responses/gpt-5.5@swedencentral` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ---------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4-20250514` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-20250514` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `ByteDance/Seed-1.8` | 256K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-code` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-mini` | 256K | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `ByteDance/Seed-2.0-pro` | 256K | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Kimi K2.5` | 262K | \$0.450 | \$2.25 | ✓ | ✓ | | ✓ | Global |
| `MiniMaxAI/MiniMax-M2.5` | 196K | \$0.150 | \$1.15 | | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3-235B-A22B-Thinking-2507` | 262K | \$0.230 | \$2.30 | | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo` | 262K | \$0.300 | \$1.00 | | ✓ | | ✓ | Global |
| `Qwen/Qwen3-Max` | 256K | \$1.20 | \$6.00 | | ✓ | | ✓ | Global |
| `Qwen/Qwen3.5-35B-A3B` | 262K | \$0.140 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `Qwen/Qwen3.5-397B-A17B` | 262K | \$0.490 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5` | 262K | \$0.400 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `XiaomiMiMo/MiMo-V2.5-Pro` | 1.0M | \$1.00 | \$3.00 | | ✓ | ✓ | ✓ | Global |
| `deepseek-ai/DeepSeek-V4-Flash` | 1.0M | \$0.100 | \$0.200 | | ✓ | ✓ | ✓ | Global |
| `deepseek-ai/DeepSeek-V4-Pro` | 1.0M | \$1.30 | \$2.60 | | ✓ | | ✓ | Global |
| `moonshotai/Kimi-K2.6` | 262K | \$0.750 | \$3.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `zai-org/GLM-5.1` | 202K | \$1.05 | \$3.50 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-chat` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-reasoner` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | | ✓ | Global |
| `deepseek-v4-pro` | 1.0M | \$0.435 | \$0.870 | | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-v4-flash` | 1.0M | \$0.140 | \$0.280 | | ✓ | ✓ | ✓ | Global |
| `deepseek-v4-pro` | 1.0M | \$1.74 | \$3.48 | | ✓ | ✓ | ✓ | Global |
| `glm-5.1` | 202K | \$1.40 | \$4.40 | | ✓ | | ✓ | Global |
| `gpt-oss-120b` | 131K | \$0.150 | \$0.600 | | ✓ | ✓ | ✓ | Global |
| `gpt-oss-20b` | 131K | \$0.070 | \$0.300 | | | ✓ | ✓ | Global |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `minimax-m2.5` | 196K | \$0.300 | \$1.20 | | ✓ | | ✓ | Global |
| `minimax-m2.7` | 196K | \$0.300 | \$1.20 | | ✓ | | ✓ | Global |
| `qwen3.6-plus` | 131K | \$0.500 | \$3.00 | ✓ | ✓ | | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@europe-west1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east5` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@europe-west1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east5` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6@europe-west1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-6@us-east5` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@europe-west1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east5` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@europe-west1` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@europe-west1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4@us-east5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `deepseek-v3.2` | 163K | \$0.560 | \$1.68 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-southwest1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-lite` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-central2` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-north1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west4` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@europe-west8` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-central1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-east5` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-south1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-lite@us-west1` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview` | 1.0M | \$0.500 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-flash-preview:flex` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-image-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-lite` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-flash-lite-preview` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | Global |
| `gemini-3.1-flash-lite@eu` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | EU |
| `gemini-3.1-flash-lite@us` | 1.0M | \$0.250 | \$1.50 | ✓ | ✓ | | ✓ | US |
| `gemini-3.1-pro-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-pro-preview:flex` | 1.0M | \$1.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.5-flash@eu` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-3.5-flash@us` | 1.0M | \$1.50 | \$9.00 | ✓ | ✓ | ✓ | ✓ | US |
| `kimi-k2` | 262K | \$0.600 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2.6` | 262K | \$0.800 | \$3.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `minimax-m2.5` | 196K | \$0.280 | \$1.10 | | ✓ | ✓ | ✓ | EU |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `MiniMax-M2.5` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.5-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| `MiniMax-M2.7-highspeed` | 200K | \$0.600 | \$2.40 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `kimi-k2.5` | 262K | \$0.600 | \$3.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `kimi-k2.6` | 262K | \$0.950 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `GLM-5` | 202K | \$1.00 | \$3.20 | | ✓ | ✓ | ✓ | Global |
| `deepseek/deepseek-v3.2` | 163K | \$0.269 | \$0.400 | | ✓ | ✓ | ✓ | Global |
| `minimax/minimax-m2.7` | 200K | \$0.300 | \$1.20 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-05-13` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-08-06` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-2024-11-20` | 128K | \$2.50 | \$10.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4o-mini` | 128K | \$0.150 | \$0.600 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:flex` | 400K | \$0.125 | \$1.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini:priority` | 400K | \$0.450 | \$3.60 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano:flex` | 400K | \$0.025 | \$0.200 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-chat` | 128K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5:flex` | 400K | \$0.625 | \$5.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5:priority` | 400K | \$2.50 | \$20.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:high` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:low` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o1:medium` | 200K | \$15.00 | \$60.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3` | 200K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-deep-research` | 100K | \$10.00 | \$40.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o3:flex` | 200K | \$1.00 | \$4.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini-deep-research` | 100K | \$2.00 | \$8.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o4-mini:flex` | 200K | \$0.550 | \$2.20 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:high` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:low` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini:medium` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gpt-4.1` | 1.0M | \$2.00 | \$8.00 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-mini` | 1.0M | \$0.400 | \$1.60 | ✓ | ✓ | | ✓ | Global |
| `gpt-4.1-nano` | 1.0M | \$0.100 | \$0.400 | ✓ | ✓ | | ✓ | Global |
| `gpt-5` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-mini` | 400K | \$0.250 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5-nano` | 400K | \$0.050 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.1-codex` | 400K | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.2-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-chat` | 128K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.3-codex` | 400K | \$1.75 | \$14.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4` | 1.1M | \$2.50 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-mini` | 400K | \$0.750 | \$4.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-nano` | 400K | \$0.200 | \$1.25 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.4-pro` | 1.1M | \$30.00 | \$180 | ✓ | ✓ | ✓ | ✓ | Global |
| `gpt-5.5` | 1.1M | \$5.00 | \$30.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `o3-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| `o4-mini` | 200K | \$1.10 | \$4.40 | | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `google/gemma-4-26B-A4B-it` | 262K | \$0.130 | \$0.400 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| --------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | --------- |
| `GLM-5` | 200K | \$1.00 | \$3.20 | ✓ | ✓ | ✓ | ✓ | Singapore |
| `GLM-5.1` | 200K | \$1.40 | \$4.40 | ✓ | ✓ | ✓ | ✓ | Singapore |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `grok-4` | 256K | \$3.00 | \$15.00 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-fast` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ | Global |
| `grok-4-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ | Global |
| `grok-4.2-beta` | 2.0M | \$2.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-4.3` | 1.0M | \$1.25 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `grok-build-0.1` | 256K | \$1.00 | \$2.00 | | ✓ | | ✓ | Global |
| `grok-code-fast-1` | 256K | \$0.200 | \$1.50 | ✓ | ✓ | | ✓ | Global |
Models that support computer use and browser control.
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@eu-central-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-north-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@eu-west-3` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east-1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-east-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-haiku-4-5@us-west-2` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@eu-central-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-north-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@eu-west-3` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east-1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-east-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-5@us-west-2` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu-central-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-north-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@eu-west-3` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@eu-central-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-north-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@eu-west-3` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east-1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-east-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-5@us-west-2` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@eu-central-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-north-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@eu-west-3` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east-1` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-east-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6@us-west-2` | 1.0M | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@eu-central-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-north-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@eu-west-3` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4@us-east-1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-east-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@us-west-2` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-opus-4-20250514` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-20250514` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `claude-haiku-4-5` | 200K | \$1.00 | \$5.00 | ✓ | ✓ | | ✓ | Global |
| `claude-haiku-4-5@europe-west1` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | EU |
| `claude-haiku-4-5@us-east5` | 200K | \$1.10 | \$5.50 | ✓ | ✓ | | ✓ | US |
| `claude-opus-4` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-1@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5` | 200K | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-5@europe-west1` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-5@us-east5` | 200K | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-6` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-6@europe-west1` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-6@us-east5` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-7` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-7@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-7@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4-8` | 1.0M | \$5.00 | \$25.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-opus-4-8@eu` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-opus-4-8@us` | 1.0M | \$5.50 | \$27.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-opus-4@us-east5` | 200K | \$15.00 | \$75.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-5@europe-west1` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-5@us-east5` | 200K | \$3.30 | \$16.50 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4-6` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4-6@europe-west1` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | EU |
| `claude-sonnet-4-6@us-east5` | 1.0M | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | US |
| `claude-sonnet-4@europe-west1` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `claude-sonnet-4@us-east5` | 200K | \$3.00 | \$15.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-central2` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-north1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west4` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@europe-west8` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-central1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-east5` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-south1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-pro@us-west1` | 1.0M | \$1.25 | \$10.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ----------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `grok-4` | 256K | \$3.00 | \$15.00 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-1-fast-reasoning` | 2.0M | \$0.200 | \$0.500 | ✓ | ✓ | | ✓ | Global |
| `grok-4-fast-non-reasoning` | 2.0M | \$0.200 | \$0.500 | | ✓ | | ✓ | Global |
| `grok-4.2-beta` | 2.0M | \$2.00 | \$6.00 | ✓ | ✓ | ✓ | ✓ | Global |
Models that can generate images.
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| -------------------------------- | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
| Model | Context | Input \$/M | Output \$/M | Vision | Tools | Reasoning | Caching | Region |
| ------------------------------------------ | ------- | ---------- | ----------- | ------ | ----- | --------- | ------- | ------ |
| `deepseek-v3.2` | 163K | \$0.560 | \$1.68 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-2.5-flash-image@europe-central2` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-north1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-southwest1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@europe-west8` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | EU |
| `gemini-2.5-flash-image@us-central1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-east5` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-south1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west1` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-2.5-flash-image@us-west4` | 1.0M | \$0.300 | \$2.50 | ✓ | ✓ | ✓ | ✓ | US |
| `gemini-3-pro-image-preview` | 1.0M | \$2.00 | \$12.00 | ✓ | ✓ | ✓ | ✓ | Global |
| `gemini-3.1-flash-image-preview` | 131K | \$0.500 | \$2.00 | ✓ | ✓ | ✓ | ✓ | Global |
***
## Programmatic Access
You can always fetch the current model list programmatically:
```bash theme={"dark"}
curl https://router.requesty.ai/v1/models \
-H "Authorization: Bearer $REQUESTY_API_KEY"
```
```python theme={"dark"}
from openai import OpenAI
client = OpenAI(base_url="https://router.requesty.ai/v1", api_key="your-key")
models = client.models.list()
for model in models:
print(model.id)
```
Model availability and pricing may change. The [`GET /v1/models`](/api-reference/endpoint/models-list) endpoint always returns the current state.