> ## Documentation Index
> Fetch the complete documentation index at: https://concentrate.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Supported AI models catalog and provider availability

> Browse 160+ AI models on Concentrate by author with model slugs, context windows, max output tokens, and per-provider availability for routing.

## Overview

Concentrate provides access to **160+ models** from **21 authors** across **21 providers** through a single unified API. Use any model slug below in the `model` field of your request.

```json theme={null}
{
  "model": "claude-opus-4-8",
  "input": "Hello, world!"
}
```

You can also pin a specific provider using the `provider/model` format:

```json theme={null}
{
  "model": "anthropic/claude-opus-4-8",
  "input": "Hello, world!"
}
```

<Info>
  Pricing, context windows, and provider availability are kept current in the [Model Fortress](https://concentrate.ai/models) dashboard. You can also query the [List Models](/docs/api-reference/endpoint/list-models) endpoint for real-time data.
</Info>

## Models by Author

<Tabs>
  <Tab title="OpenAI">
    ### OpenAI (26 models)

    #### Frontier

    | Model Slug      | Name          | Providers     | Context   | Max Output |
    | --------------- | ------------- | ------------- | --------- | ---------- |
    | `gpt-5.6-sol`   | GPT 5.6 Sol   | openai, azure | 1,050,000 | 128,000    |
    | `gpt-5.6-terra` | GPT 5.6 Terra | openai, azure | 1,050,000 | 128,000    |
    | `gpt-5.6-luna`  | GPT 5.6 Luna  | openai, azure | 1,050,000 | 128,000    |
    | `gpt-5.5`       | GPT 5.5       | openai, azure | 1,050,000 | 128,000    |
    | `gpt-5.4`       | GPT 5.4       | openai, azure | 1,050,000 | 128,000    |
    | `gpt-5.4-mini`  | GPT 5.4 Mini  | openai, azure | 128,000   | 128,000    |
    | `gpt-5.4-nano`  | GPT 5.4 Nano  | openai, azure | 128,000   | 128,000    |
    | `gpt-5.4-pro`   | GPT 5.4 Pro   | openai, azure | 1,050,000 | 128,000    |
    | `gpt-5.2`       | GPT 5.2       | openai, azure | 400,000   | 128,000    |
    | `gpt-5.1`       | GPT 5.1       | openai, azure | 400,000   | 128,000    |
    | `gpt-5`         | GPT 5         | openai, azure | 400,000   | 128,000    |
    | `gpt-5-mini`    | GPT 5 Mini    | openai, azure | 400,000   | 128,000    |
    | `gpt-5-nano`    | GPT 5 Nano    | openai, azure | 400,000   | 128,000    |

    #### Codex (Agentic Coding)

    | Model Slug      | Name          | Providers     | Context | Max Output |
    | --------------- | ------------- | ------------- | ------- | ---------- |
    | `gpt-5.3-codex` | GPT 5.3 Codex | openai, azure | 400,000 | 128,000    |

    #### Reasoning

    | Model Slug | Name           | Providers | Context | Max Output |
    | ---------- | -------------- | --------- | ------- | ---------- |
    | `o1`       | OpenAI o1      | openai    | 200,000 | 100,000    |
    | `o3`       | OpenAI o3      | openai    | 200,000 | 100,000    |
    | `o3-mini`  | OpenAI o3-mini | openai    | 200,000 | 100,000    |
    | `o4-mini`  | OpenAI o4-mini | openai    | 200,000 | 100,000    |

    #### Previous Generation

    | Model Slug     | Name         | Providers     | Context   | Max Output |
    | -------------- | ------------ | ------------- | --------- | ---------- |
    | `gpt-4.1`      | GPT 4.1      | openai, azure | 1,047,576 | 32,768     |
    | `gpt-4.1-mini` | GPT 4.1 Mini | openai, azure | 1,047,576 | 32,768     |
    | `gpt-4o`       | GPT 4o       | openai, azure | 128,000   | 16,384     |
    | `gpt-4o-mini`  | GPT 4o Mini  | openai, azure | 128,000   | 16,384     |

    #### Open-Weight (GPT-OSS)

    | Model Slug               | Name                          | Providers                                          | Context | Max Output |
    | ------------------------ | ----------------------------- | -------------------------------------------------- | ------- | ---------- |
    | `gpt-oss-120b`           | OpenAI gpt-oss 120B           | azure, cloudflare, bedrock, bluelobster, fireworks | 131,072 | 128,000    |
    | `gpt-oss-20b`            | OpenAI gpt-oss 20B            | cloudflare, bedrock, bluelobster, fireworks        | 131,072 | 128,000    |
    | `gpt-oss-safeguard-120b` | OpenAI gpt-oss Safeguard 120B | bedrock                                            | 128,000 | 128,000    |
    | `gpt-oss-safeguard-20b`  | OpenAI gpt-oss Safeguard 20B  | bedrock                                            | 128,000 | 128,000    |
  </Tab>

  <Tab title="Anthropic">
    ### Anthropic (12 models)

    Anthropic models support [Zero Data Retention](/docs/api-reference/endpoint/zero-data-retention) when accessed via the Anthropic, Azure, or Bedrock provider, except where noted in the ZDR column.

    #### Current Generation

    | Model Slug          | Name              | Providers                         | Context   | Max Output | ZDR |
    | ------------------- | ----------------- | --------------------------------- | --------- | ---------- | --- |
    | `claude-fable-5`    | Claude Fable 5    | anthropic, vertex, azure          | 1,000,000 | 128,000    | No  |
    | `claude-opus-5`     | Claude Opus 5     | anthropic, vertex, azure          | 1,000,000 | 128,000    | Yes |
    | `claude-sonnet-5`   | Claude Sonnet 5   | anthropic, azure, bedrock         | 1,000,000 | 128,000    | Yes |
    | `claude-opus-4-8`   | Claude Opus 4.8   | anthropic, vertex, azure, bedrock | 1,000,000 | 128,000    | Yes |
    | `claude-opus-4-7`   | Claude Opus 4.7   | anthropic, azure, bedrock         | 1,000,000 | 128,000    | Yes |
    | `claude-opus-4-6`   | Claude Opus 4.6   | anthropic, vertex, azure, bedrock | 200,000   | 128,000    | Yes |
    | `claude-opus-4-5`   | Claude Opus 4.5   | anthropic, azure, bedrock         | 200,000   | 64,000     | Yes |
    | `claude-sonnet-4-6` | Claude Sonnet 4.6 | anthropic, vertex, azure, bedrock | 200,000   | 64,000     | Yes |
    | `claude-sonnet-4-5` | Claude Sonnet 4.5 | anthropic, azure, bedrock         | 200,000   | 64,000     | Yes |
    | `claude-haiku-4-5`  | Claude Haiku 4.5  | anthropic, azure, bedrock         | 200,000   | 64,000     | Yes |

    #### Previous Generation

    | Model Slug        | Name            | Providers          | Context | Max Output | ZDR |
    | ----------------- | --------------- | ------------------ | ------- | ---------- | --- |
    | `claude-opus-4-1` | Claude Opus 4.1 | anthropic, bedrock | 200,000 | 32,000     | Yes |
    | `claude-sonnet-4` | Claude Sonnet 4 | bedrock            | 200,000 | 64,000     | Yes |
  </Tab>

  <Tab title="Google">
    ### Google (14 models)

    #### Gemini

    Gemini models support [Zero Data Retention](/docs/api-reference/endpoint/zero-data-retention) only when accessed via the Vertex provider — the `ai-studio` provider is not ZDR-certified. A request is only actually zero-data-retention if ZDR is enabled on the API key making it.

    | Model Slug                      | Name                          | Providers         | Context   | Max Output | ZDR               |
    | ------------------------------- | ----------------------------- | ----------------- | --------- | ---------- | ----------------- |
    | `gemini-3.6-flash`              | Gemini 3.6 Flash              | vertex            | 1,048,576 | 65,536     | Yes               |
    | `gemini-3.5-flash-lite`         | Gemini 3.5 Flash Lite         | vertex            | 1,048,576 | 65,536     | Yes               |
    | `gemini-3.5-flash`              | Gemini 3.5 Flash              | vertex, ai-studio | 1,048,576 | 65,536     | Yes (vertex only) |
    | `gemini-3.1-flash-lite-preview` | Gemini 3.1 Flash Lite Preview | ai-studio         | 1,048,576 | 65,536     | No                |
    | `gemini-3.1-pro-preview`        | Gemini 3.1 Pro Preview        | vertex, ai-studio | 1,000,000 | 65,536     | Yes (vertex only) |
    | `gemini-3-flash-preview`        | Gemini 3 Flash Preview        | vertex, ai-studio | 1,000,000 | 65,536     | Yes (vertex only) |
    | `gemini-2.5-pro`                | Gemini 2.5 Pro                | vertex, ai-studio | 1,000,000 | 65,536     | Yes (vertex only) |
    | `gemini-2.5-flash`              | Gemini 2.5 Flash              | vertex, ai-studio | 1,000,000 | 65,536     | Yes (vertex only) |
    | `gemini-2.5-flash-lite`         | Gemini 2.5 Flash Lite         | vertex, ai-studio | 1,048,576 | 65,536     | Yes (vertex only) |

    #### Gemma (Open-Weight)

    | Model Slug    | Name            | Providers         | Context | Max Output |
    | ------------- | --------------- | ----------------- | ------- | ---------- |
    | `gemma-3-12b` | Gemma 3 12B     | bedrock           | 128,000 | 8,192      |
    | `gemma-3-4b`  | Gemma 3 4B IT   | bedrock           | 128,000 | 8,192      |
    | `gemma-3-27b` | Gemma 3 27B     | bedrock           | 128,000 | 8,192      |
    | `gemma-4-26b` | Gemma 4 26B A4B | deepinfra         | 262,144 | 16,384     |
    | `gemma-4-31b` | Gemma 4 31B     | deepinfra, novita | 262,144 | 131,072    |
  </Tab>

  <Tab title="xAI">
    ### xAI (14 models)

    #### Grok 4.20 & 4.1

    | Model Slug                     | Name                    | Providers | Context   | Max Output |
    | ------------------------------ | ----------------------- | --------- | --------- | ---------- |
    | `grok-4.20-multi-agent-0309`   | Grok 4.20 Multi-Agent   | xai       | 2,000,000 | 131,072    |
    | `grok-4.20-0309-reasoning`     | Grok 4.20 Reasoning     | xai       | 2,000,000 | 131,072    |
    | `grok-4.20-0309-non-reasoning` | Grok 4.20 Non Reasoning | xai       | 2,000,000 | 131,072    |
    | `grok-4-1-fast-reasoning`      | Grok 4.1 Fast Reasoning | xai       | 2,000,000 | 131,072    |
    | `grok-4-1-fast-non-reasoning`  | Grok 4.1 Fast           | xai       | 2,000,000 | 131,072    |

    #### Grok 4 & 4.x

    | Model Slug                  | Name                  | Providers  | Context   | Max Output |
    | --------------------------- | --------------------- | ---------- | --------- | ---------- |
    | `grok-4.5`                  | Grok 4.5              | xai        | 500,000   | 500,000    |
    | `grok-4.3`                  | Grok 4.3              | xai, azure | 1,000,000 | 1,000,000  |
    | `grok-4-0709`               | Grok 4 (0709)         | xai        | 256,000   | 131,072    |
    | `grok-4`                    | Grok 4                | xai        | 256,000   | 256,000    |
    | `grok-4-fast-reasoning`     | Grok 4 Fast Reasoning | xai        | 2,000,000 | 131,072    |
    | `grok-4-fast-non-reasoning` | Grok 4 Fast           | xai        | 2,000,000 | 131,072    |

    #### Grok 3

    | Model Slug    | Name        | Providers | Context | Max Output |
    | ------------- | ----------- | --------- | ------- | ---------- |
    | `grok-3`      | Grok 3      | xai       | 131,072 | 131,072    |
    | `grok-3-mini` | Grok 3 Mini | xai       | 131,072 | 131,072    |

    #### Code & Build

    | Model Slug       | Name           | Providers | Context | Max Output |
    | ---------------- | -------------- | --------- | ------- | ---------- |
    | `grok-build-0.1` | Grok Build 0.1 | xai       | 256,000 | 256,000    |
  </Tab>

  <Tab title="Meta">
    ### Meta (8 models)

    #### Llama 4

    | Model Slug         | Name             | Providers           | Context   | Max Output |
    | ------------------ | ---------------- | ------------------- | --------- | ---------- |
    | `llama-4-scout`    | Llama 4 Scout    | cloudflare, bedrock | 131,000   | 32,768     |
    | `llama-4-maverick` | Llama 4 Maverick | bedrock             | 1,048,576 | 8,192      |

    #### Llama 3.x

    | Model Slug               | Name                   | Providers           | Context | Max Output |
    | ------------------------ | ---------------------- | ------------------- | ------- | ---------- |
    | `llama-3.3-70b-instruct` | Llama 3.3 70B Instruct | cloudflare, bedrock | 128,000 | 8,192      |
    | `llama-3.2-1b-instruct`  | Llama 3.2 1B Instruct  | cloudflare          | 60,000  | 2,048      |
    | `llama-3.1-8b-instruct`  | Llama 3.1 8B Instruct  | bedrock             | 128,000 | 8,192      |
    | `llama-3.1-70b-instruct` | Llama 3.1 70B Instruct | bedrock             | 128,000 | 8,192      |

    #### Llama 3

    | Model Slug             | Name                 | Providers | Context | Max Output |
    | ---------------------- | -------------------- | --------- | ------- | ---------- |
    | `llama-3-70b-instruct` | Llama 3 70B Instruct | bedrock   | 8,000   | 2,048      |
    | `llama-3-8b-instruct`  | Llama 3 8B Instruct  | bedrock   | 8,000   | 2,048      |
  </Tab>

  <Tab title="Mistral">
    ### Mistral (13 models)

    #### Frontier

    | Model Slug           | Name               | Providers        | Context | Max Output |
    | -------------------- | ------------------ | ---------------- | ------- | ---------- |
    | `mistral-large-3`    | Mistral Large 3    | mistral, bedrock | 256,000 | 32,000     |
    | `mistral-medium-3`   | Mistral Medium 3   | mistral          | 128,000 | 32,000     |
    | `mistral-medium-3.1` | Mistral Medium 3.1 | mistral          | 128,000 | 32,000     |

    #### Magistral (Reasoning)

    | Model Slug             | Name                 | Providers        | Context | Max Output |
    | ---------------------- | -------------------- | ---------------- | ------- | ---------- |
    | `magistral-medium-1.2` | Magistral Medium 1.2 | mistral          | 128,000 | 128,000    |
    | `magistral-small-1.2`  | Magistral Small 1.2  | mistral, bedrock | 128,000 | 128,000    |

    #### Code

    | Model Slug   | Name       | Providers | Context | Max Output |
    | ------------ | ---------- | --------- | ------- | ---------- |
    | `codestral`  | Codestral  | mistral   | 128,000 | 32,000     |
    | `devstral-2` | Devstral 2 | mistral   | 256,000 | 32,000     |

    #### Small & Efficient

    | Model Slug          | Name              | Providers        | Context | Max Output |
    | ------------------- | ----------------- | ---------------- | ------- | ---------- |
    | `mistral-nemo`      | Mistral Nemo      | mistral          | 128,000 | 32,000     |
    | `mistral-small-3.1` | Mistral Small 3.1 | cloudflare       | 128,000 | 8,192      |
    | `mistral-small-3.2` | Mistral Small     | mistral          | 128,000 | 32,000     |
    | `ministral-3-3b`    | Ministral 3 3B    | mistral, bedrock | 256,000 | 32,000     |
    | `ministral-3-8b`    | Ministral 3 8B    | mistral, bedrock | 256,000 | 32,000     |
    | `ministral-3-14b`   | Ministral 3 14B   | mistral, bedrock | 256,000 | 32,000     |
  </Tab>

  <Tab title="Alibaba">
    ### Alibaba Cloud (24 models)

    #### Qwen 3.7

    | Model Slug     | Name         | Providers | Context   | Max Output |
    | -------------- | ------------ | --------- | --------- | ---------- |
    | `qwen3.7-max`  | Qwen3.7 Max  | alibaba   | 1,000,000 | 64,000     |
    | `qwen3.7-plus` | Qwen3.7 Plus | alibaba   | 1,000,000 | 64,000     |

    #### Qwen 3.6

    | Model Slug      | Name            | Providers          | Context   | Max Output |
    | --------------- | --------------- | ------------------ | --------- | ---------- |
    | `qwen3.6-35b`   | Qwen3.6 35B A3B | alibaba, deepinfra | 262,144   | 64,000     |
    | `qwen3.6-plus`  | Qwen3.6 Plus    | alibaba            | 1,000,000 | 64,000     |
    | `qwen3.6-flash` | Qwen3.6 Flash   | alibaba            | 1,000,000 | 64,000     |

    #### Qwen 3.5

    | Model Slug          | Name              | Providers | Context   | Max Output |
    | ------------------- | ----------------- | --------- | --------- | ---------- |
    | `qwen3.5-122b-a10b` | Qwen3.5 122B A10B | alibaba   | 256,000   | 64,000     |
    | `qwen3.5-plus`      | Qwen3.5 Plus      | alibaba   | 1,000,000 | 64,000     |
    | `qwen3.5-flash`     | Qwen3.5 Flash     | alibaba   | 1,000,000 | 64,000     |
    | `qwen3.5-397b-a17b` | Qwen3.5 397B A17B | alibaba   | 256,000   | 64,000     |
    | `qwen3.5-35b-a3b`   | Qwen3.5 35B A3B   | alibaba   | 256,000   | 64,000     |

    #### Qwen 3 Max (Flagship)

    | Model Slug  | Name      | Providers | Context | Max Output |
    | ----------- | --------- | --------- | ------- | ---------- |
    | `qwen3-max` | Qwen3 Max | alibaba   | 256,000 | 64,000     |

    #### Qwen 3 Coder (Agentic Coding)

    | Model Slug            | Name                | Providers | Context   | Max Output |
    | --------------------- | ------------------- | --------- | --------- | ---------- |
    | `qwen3-coder-30b-a3b` | Qwen3 Coder 30B A3B | bedrock   | 256,000   | 65,536     |
    | `qwen3-coder-next`    | Qwen3 Coder Next    | bedrock   | 256,000   | 65,536     |
    | `qwen3-coder-plus`    | Qwen3 Coder Plus    | alibaba   | 1,000,000 | 64,000     |
    | `qwen3-coder-flash`   | Qwen3 Coder Flash   | alibaba   | 1,000,000 | 64,000     |

    #### Qwen 3

    | Model Slug           | Name               | Providers  | Context | Max Output |
    | -------------------- | ------------------ | ---------- | ------- | ---------- |
    | `qwen3-30b`          | Qwen3 30B          | cloudflare | 32,768  | 8,192      |
    | `qwen3-32b`          | Qwen3 32B          | bedrock    | 32,000  | 8,192      |
    | `qwen3-next-80b-a3b` | Qwen3 Next 80B A3B | bedrock    | 128,000 | 8,192      |
    | `qwen3-vl-235b-a22b` | Qwen3 VL 235B A22B | bedrock    | 128,000 | 8,192      |
    | `qwen3-vl-plus`      | Qwen3 VL Plus      | alibaba    | 256,000 | 32,000     |
    | `qwen3-vl-flash`     | Qwen3 VL Flash     | alibaba    | 256,000 | 32,000     |

    #### QwQ (Reasoning)

    | Model Slug | Name    | Providers  | Context | Max Output |
    | ---------- | ------- | ---------- | ------- | ---------- |
    | `qwq-32b`  | QwQ 32B | cloudflare | 24,000  | 16,384     |

    #### Qwen Legacy

    | Model Slug   | Name       | Providers | Context   | Max Output |
    | ------------ | ---------- | --------- | --------- | ---------- |
    | `qwen-plus`  | Qwen Plus  | alibaba   | 1,000,000 | 32,000     |
    | `qwen-flash` | Qwen Flash | alibaba   | 1,000,000 | 32,000     |
  </Tab>

  <Tab title="More">
    ### DeepSeek (6 models)

    | Model Slug                | Name                    | Providers                                      | Context   | Max Output |
    | ------------------------- | ----------------------- | ---------------------------------------------- | --------- | ---------- |
    | `deepseek-r1`             | DeepSeek R1             | bedrock                                        | 128,000   | 32,768     |
    | `deepseek-r1-0528`        | DeepSeek R1 0528        | novita                                         | 163,840   | 32,768     |
    | `deepseek-r1-distill-32b` | DeepSeek R1 Distill 32B | cloudflare                                     | 80,000    | 80,000     |
    | `deepseek-v3-2`           | DeepSeek V3.2           | vertex, deepinfra, bedrock, azure, novita      | 163,840   | 65,536     |
    | `deepseek-v4-flash`       | DeepSeek V4 Flash       | deepseek, novita, alibaba, fireworks           | 1,048,576 | 393,216    |
    | `deepseek-v4-pro`         | DeepSeek V4 Pro         | deepseek, azure-fw, novita, alibaba, fireworks | 1,040,000 | 384,000    |

    ***

    ### z.ai (9 models)

    | Model Slug      | Name          | Providers                                       | Context   | Max Output |
    | --------------- | ------------- | ----------------------------------------------- | --------- | ---------- |
    | `glm-5.2`       | GLM-5.2       | deepinfra, novita, cloudflare, fireworks        | 1,048,576 | 256,000    |
    | `glm-5.1`       | GLM-5.1       | deepinfra, azure-fw, novita, alibaba, fireworks | 204,800   | 202,752    |
    | `glm-5`         | GLM-5         | vertex, zai, novita                             | 202,800   | 131,072    |
    | `glm-4.7`       | GLM-4.7       | zai, bedrock                                    | 200,000   | 128,000    |
    | `glm-4.7-flash` | GLM-4.7 Flash | bedrock, cloudflare                             | 200,000   | 131,072    |
    | `glm-4.6`       | GLM-4.6       | zai                                             | 200,000   | 128,000    |
    | `glm-4.6v`      | GLM-4.6v      | zai                                             | 131,072   | 32,768     |
    | `glm-4.5`       | GLM-4.5       | zai                                             | 128,000   | 96,000     |
    | `glm-4.5v`      | GLM-4.5v      | zai                                             | 131,072   | 16,384     |

    ***

    ### Amazon (5 models)

    | Model Slug     | Name                | Providers | Context   | Max Output |
    | -------------- | ------------------- | --------- | --------- | ---------- |
    | `nova-lite`    | Amazon Nova Lite    | bedrock   | 300,000   | 5,000      |
    | `nova-micro`   | Amazon Nova Micro   | bedrock   | 128,000   | 5,000      |
    | `nova-pro`     | Amazon Nova Pro     | bedrock   | 300,000   | 5,000      |
    | `nova-premier` | Amazon Nova Premier | bedrock   | 1,000,000 | 20,000     |
    | `nova-2-lite`  | Amazon Nova 2 Lite  | bedrock   | 256,000   | 5,000      |

    ***

    ### MiniMax (8 models)

    | Model Slug               | Name                   | Providers                  | Context   | Max Output |
    | ------------------------ | ---------------------- | -------------------------- | --------- | ---------- |
    | `minimax-m2`             | MiniMax M2             | minimax, bedrock           | 204,800   | 8,192      |
    | `minimax-m2-1`           | MiniMax M2.1           | minimax, bedrock           | 204,800   | 8,192      |
    | `minimax-m2-1-highspeed` | MiniMax M2.1 Highspeed | minimax                    | 204,800   | 8,192      |
    | `minimax-m2-5`           | MiniMax M2.5           | minimax                    | 204,800   | 8,192      |
    | `minimax-m2-5-highspeed` | MiniMax M2.5 Highspeed | minimax                    | 204,800   | 8,192      |
    | `minimax-m2-7`           | MiniMax M2.7           | minimax, novita, fireworks | 204,800   | 196,600    |
    | `minimax-m2-7-highspeed` | MiniMax M2.7 Highspeed | minimax                    | 204,800   | 131,072    |
    | `minimax-m3`             | MiniMax M3             | minimax, fireworks         | 1,000,000 | 512,000    |

    ***

    ### Moonshot AI (5 models)

    | Model Slug         | Name             | Providers                                                 | Context   | Max Output |
    | ------------------ | ---------------- | --------------------------------------------------------- | --------- | ---------- |
    | `kimi-k3`          | Kimi K3          | moonshot                                                  | 1,048,576 | 1,048,576  |
    | `kimi-k2-thinking` | Kimi K2 Thinking | bedrock                                                   | 256,000   | 65,535     |
    | `kimi-k2-5`        | Kimi K2.5        | bedrock, azure, novita, alibaba                           | 262,144   | 262,144    |
    | `kimi-k2-6`        | Kimi K2.6        | deepinfra, cloudflare, azure, azure-fw, novita, fireworks | 262,144   | 262,144    |
    | `kimi-k2-7-code`   | Kimi K2.7 Code   | moonshot, deepinfra, novita, cloudflare, fireworks        | 262,144   | 262,144    |

    ***

    ### NVIDIA (3 models)

    | Model Slug               | Name                                   | Providers  | Context | Max Output |
    | ------------------------ | -------------------------------------- | ---------- | ------- | ---------- |
    | `nemotron-3-120b`        | Nemotron 3 120B A12B                   | cloudflare | 256,000 | 256,000    |
    | `nemotron-3-nano-omni`   | Nemotron 3 Nano Omni 30B A3B Reasoning | deepinfra  | 131,072 | 16,384     |
    | `nemotron-3-ultra-nvfp4` | Nemotron 3 Ultra NVFP4                 | fireworks  | 262,144 | 262,144    |

    ***

    ### Xiaomi (2 models)

    | Model Slug      | Name          | Providers         | Context   | Max Output |
    | --------------- | ------------- | ----------------- | --------- | ---------- |
    | `mimo-v2.5`     | MiMo V2.5     | deepinfra, novita | 1,048,576 | 131,072    |
    | `mimo-v2.5-pro` | MiMo V2.5 Pro | novita            | 1,048,576 | 131,072    |

    ***

    ### Cohere (2 models)

    | Model Slug         | Name             | Providers | Context | Max Output |
    | ------------------ | ---------------- | --------- | ------- | ---------- |
    | `command-a`        | Command A        | cohere    | 256,000 | 8,192      |
    | `command-a-vision` | Command A Vision | cohere    | 128,000 | 8,000      |

    ***

    ### Writer (2 models)

    | Model Slug   | Name       | Providers | Context | Max Output |
    | ------------ | ---------- | --------- | ------- | ---------- |
    | `palmyra-x4` | Palmyra X4 | bedrock   | 128,000 | 8,192      |
    | `palmyra-x5` | Palmyra X5 | bedrock   | 128,000 | 8,192      |

    ***

    ### AI21 Labs (2 models)

    | Model Slug        | Name            | Providers | Context | Max Output |
    | ----------------- | --------------- | --------- | ------- | ---------- |
    | `jamba-1-5-large` | Jamba 1.5 Large | bedrock   | 256,000 | 4,096      |
    | `jamba-1-5-mini`  | Jamba 1.5 Mini  | bedrock   | 256,000 | 4,096      |

    ***

    ### StepFun AI (2 models)

    | Model Slug       | Name           | Providers         | Context | Max Output |
    | ---------------- | -------------- | ----------------- | ------- | ---------- |
    | `step-3-5-flash` | Step 3.5 Flash | deepinfra         | 262,100 | 16,384     |
    | `step-3-7-flash` | Step 3.7 Flash | novita, deepinfra | 262,144 | 256,000    |

    ***

    ### IBM (1 model)

    | Model Slug          | Name              | Providers  | Context | Max Output |
    | ------------------- | ----------------- | ---------- | ------- | ---------- |
    | `ibm-granite-micro` | IBM Granite Micro | cloudflare | 131,000 | 4,096      |

    ***

    ### Tencent (1 model)

    | Model Slug | Name        | Providers | Context | Max Output |
    | ---------- | ----------- | --------- | ------- | ---------- |
    | `hy3`      | Hunyuan Hy3 | novita    | 262,144 | 262,144    |

    ***

    ### Concentrate (1 model)

    | Model Slug  | Name      | Providers   | Context | Max Output |
    | ----------- | --------- | ----------- | ------- | ---------- |
    | `redact-v1` | Redact v1 | concentrate | 256,000 | 256,000    |
  </Tab>
</Tabs>

## Providers

Models are available across **21 providers**. The same model may be offered by multiple providers with different pricing, latency, and feature support.

| Provider         | Slug          | Description                                              |
| ---------------- | ------------- | -------------------------------------------------------- |
| OpenAI           | `openai`      | Direct OpenAI API access                                 |
| Anthropic        | `anthropic`   | Direct Anthropic API access                              |
| Azure            | `azure`       | Microsoft Azure OpenAI Service                           |
| Azure AI Foundry | `azure-fw`    | Azure AI Foundry hosted open-weight models               |
| AWS Bedrock      | `bedrock`     | Amazon Bedrock managed inference                         |
| Google Vertex AI | `vertex`      | Google Cloud Vertex AI                                   |
| Google AI Studio | `ai-studio`   | Google AI Studio                                         |
| xAI              | `xai`         | xAI direct API access                                    |
| Cohere           | `cohere`      | Cohere direct API access                                 |
| Mistral          | `mistral`     | Mistral AI direct API access                             |
| Alibaba Cloud    | `alibaba`     | Alibaba Cloud Model Studio (DashScope) direct API access |
| Cloudflare       | `cloudflare`  | Cloudflare Workers AI                                    |
| z.ai             | `zai`         | Zhipu AI direct API access                               |
| MiniMax          | `minimax`     | MiniMax direct API access                                |
| Moonshot AI      | `moonshot`    | Moonshot AI direct API access                            |
| DeepSeek         | `deepseek`    | DeepSeek direct API access                               |
| DeepInfra        | `deepinfra`   | DeepInfra inference platform                             |
| Fireworks        | `fireworks`   | Fireworks AI inference platform                          |
| Novita           | `novita`      | Novita AI inference platform                             |
| Blue Lobster     | `bluelobster` | Blue Lobster inference                                   |
| Concentrate      | `concentrate` | Concentrate first-party hosted models                    |

## Model Selection

There are three ways to specify which model to use:

| Method          | Format                  | Example                       | Behavior                                     |
| --------------- | ----------------------- | ----------------------------- | -------------------------------------------- |
| Model slug      | `"model-slug"`          | `"claude-opus-4-8"`           | Auto-routes to the best provider             |
| Provider-pinned | `"provider/model-slug"` | `"anthropic/claude-opus-4-8"` | Uses specific provider, falls back to others |
| Auto            | `"auto"`                | `"auto"`                      | System selects optimal model and provider    |

See [Routing](/docs/api-reference/endpoint/auto-routing) for full details on provider selection, fallback, and optimization metrics.

## Querying Models Programmatically

Use the Models API to get real-time model data including current pricing and per-provider ZDR status:

<CodeGroup>
  ```bash cURL theme={null}
  # List all models (OpenAI-compatible combined shape)
  curl https://api.concentrate.ai/v1/models \
    -H "Authorization: Bearer YOUR_API_KEY"

  # Get a specific model (native shape with per-provider zdr field)
  curl https://api.concentrate.ai/v1/models/claude-opus-4-8 \
    -H "Authorization: Bearer YOUR_API_KEY"

  # List models by author
  curl https://api.concentrate.ai/v1/models/authors/anthropic \
    -H "Authorization: Bearer YOUR_API_KEY"

  # List models by provider
  curl https://api.concentrate.ai/v1/models/providers/bedrock/models \
    -H "Authorization: Bearer YOUR_API_KEY"
  ```

  ```python Python theme={null}
  import requests

  headers = {"Authorization": "Bearer YOUR_API_KEY"}

  # List all models
  res = requests.get(
      "https://api.concentrate.ai/v1/models",
      headers=headers,
  ).json()

  for model in res["data"]:
      print(f"{model['id']:30s} {model['owned_by']}")
  ```

  ```javascript JavaScript theme={null}
  const headers = { Authorization: "Bearer YOUR_API_KEY" };

  // List all models
  const res = await fetch("https://api.concentrate.ai/v1/models", { headers });
  const { data } = await res.json();

  for (const model of data) {
    console.log(`${model.id.padEnd(30)} ${model.owned_by}`);
  }
  ```
</CodeGroup>

## Related Documentation

<CardGroup cols={2}>
  <Card title="List Models" icon="layer-group" href="/docs/api-reference/endpoint/list-models">
    Full API reference for querying models
  </Card>

  <Card title="Routing" icon="route" href="/docs/api-reference/endpoint/auto-routing">
    How provider selection and fallback works
  </Card>

  <Card title="Zero Data Retention" icon="shield-halved" href="/docs/api-reference/endpoint/zero-data-retention">
    ZDR-certified models and providers
  </Card>

  <Card title="Quickstart" icon="rocket" href="/docs/getting-started/quickstart">
    Make your first API call
  </Card>
</CardGroup>