Complete Model List

Get Model List via API

You can query the complete list of available models through this API. No API key is required for this request. You can also simply open this list in any web browser.

get

Responses

200

A list of available models.

application/json

idstringRequired

Unique identifier of the model.

Example: o3-mini

typestringRequired

Model interaction type.

Example: chat-completion

featuresstring[]Required

List of supported features and API capabilities for the model.

Example: ["openai/chat-completion","openai/response-api","openai/chat-assistant","openai/chat-completion.function","openai/chat-completion.message.refusal","openai/chat-completion.message.system","openai/chat-completion.message.developer","openai/chat-completion.message.assistant","openai/chat-completion.stream","openai/chat-completion.max-completion-tokens","openai/chat-completion.seed","openai/chat-completion.reasoning","openai/chat-completion.response-format"]

endpointsstring[]Required

API endpoints through which this model can be accessed.

Example: ["/v1/chat/completions","/v1/responses"]

get

/models

cURLJavaScriptPython

curl -L \
  --url 'https://api.aimlapi.com/models'

200

A list of available models.

[
  {
    "id": "o3-mini",
    "type": "chat-completion",
    "info": {
      "name": "o3 mini",
      "developer": "Open AI",
      "description": "OpenAI o3-mini excels in reasoning tasks with advanced features like deliberative alignment and extensive context support.",
      "contextLength": 200000,
      "maxTokens": 100000,
      "url": "https://aimlapi.com/models/openai-o3-mini-api",
      "docs_url": "https://docs.aimlapi.com/api-references/text-models-llm/openai/o3-mini"
    },
    "features": [
      "openai/chat-completion",
      "openai/response-api",
      "openai/chat-assistant",
      "openai/chat-completion.function",
      "openai/chat-completion.message.refusal",
      "openai/chat-completion.message.system",
      "openai/chat-completion.message.developer",
      "openai/chat-completion.message.assistant",
      "openai/chat-completion.stream",
      "openai/chat-completion.max-completion-tokens",
      "openai/chat-completion.seed",
      "openai/chat-completion.reasoning",
      "openai/chat-completion.response-format"
    ],
    "endpoints": [
      "/v1/chat/completions",
      "/v1/responses"
    ]
  }
]

Output Examples by Model Type

As of early 2026, this endpoint returns a list of more than 400 models. Each item represents a single model identified by a unique ID. Depending on the model category (chat, video, etc.), the set of fields in each item may vary slightly, so below we provide representative examples from the main model categories.

Example output item for a chat model

Unlike other types of models, every chat model includes a non-empty features list that clearly shows what the model can do: support for streaming, instructions for SYSTEM or DEVELOPER roles besides the regular prompt, whether the model is described by the developer as “thinking”, etc.

For more details on many of these, see the CAPABILITIES section of this documentation portal.

{
  "id": "o3-mini",
  "type": "chat-completion",
  "info": {
    "name": "o3 mini",
    "developer": "Open AI",
    "description": "OpenAI o3-mini excels in reasoning tasks with advanced features like deliberative alignment and extensive context support.",
    "contextLength": 200000,
    "maxTokens": 100000,
    "url": "https://aimlapi.com/models/openai-o3-mini-api",
    "docs_url": "https://docs.aimlapi.com/api-references/text-models-llm/openai/o3-mini"
  },
  "features": [
    "openai/chat-completion",
    "openai/response-api",
    "openai/chat-assistant",
    "openai/chat-completion.function",
    "openai/chat-completion.message.refusal",
    "openai/chat-completion.message.system",
    "openai/chat-completion.message.developer",
    "openai/chat-completion.message.assistant",
    "openai/chat-completion.stream",
    "openai/chat-completion.max-completion-tokens",
    "openai/chat-completion.number-of-messages",
    "openai/chat-completion.stop",
    "openai/chat-completion.seed",
    "openai/chat-completion.reasoning",
    "openai/chat-completion.response-format"
  ],
  "endpoints": [
    "/v1/chat/completions",
    "/v1/responses"
  ]
}

Example output item for an image model

{
  "id": "flux/kontext-max/text-to-image",
  "type": "image",
  "info": {
    "name": "Flux Kontext Max",
    "developer": "Flux",
    "description": "A new Flux model optimized for maximum image quality.",
    "url": "https://aimlapi.com/models/flux-1-kontext-max",
    "docs_url": "https://docs.aimlapi.com/api-references/image-models/flux/flux-kontext-max-text-to-image"
  },
  "features": [],
  "endpoints": [
    "/v1/images/generations"
  ]
}

Example output item for a video model

{
  "id": "veo2/image-to-video",
  "type": "video",
  "info": {
    "name": "Veo2 Image-to-Video",
    "description": "Veo2 Image-to-Video: Google's AI transforming still images into dynamic videos",
    "developer": "Google",
    "url": "https://aimlapi.com/models/veo-2-image-to-video-api",
    "docs_url": "https://docs.aimlapi.com/api-references/video-models/google/veo2-image-to-video"
  },
  "features": [],
  "endpoints": [
    "/v2/generate/video/google/generation",
    "/v2/video/generations"
  ]
}