List LLM Models

Use the /v3/models endpoint to retrieve all LLM models available through Eden AI, along with their capabilities: input modalities, reasoning, web search, and function calling.

Endpoint

GET /v3/models

The endpoint is public: no API key is required.

Example

curl https://api.edenai.run/v3/models

import requests

response = requests.get("https://api.edenai.run/v3/models")

for model in response.json()["data"]:
    print(model["id"])

const response = await fetch("https://api.edenai.run/v3/models");

const { data } = await response.json();
data.forEach(model => console.log(model.id));

Response

Each entry includes the model’s identity, context window, capabilities, pricing, and available regions (list truncated for readability):

{
  "object": "list",
  "data": [
    {
      "id": "google/gemini-flash-latest",
      "object": "model",
      "created": 1784646733,
      "owned_by": "google",
      "model_name": "gemini-3.6-flash",
      "context_length": 1048576,
      "description": "Gemini 3.6 Flash is a high-efficiency model from Google...",
      "capabilities": {
        "input_modalities": ["text", "image", "video", "file", "audio"],
        "output_modalities": ["text"],
        "supports_reasoning": true,
        "supports_web_search": true,
        "supports_tool_choice": true,
        "supports_computer_use": false,
        "supports_prompt_caching": true,
        "supports_response_schema": true,
        "supports_system_messages": true,
        "supports_function_calling": true,
        "supports_native_streaming": true,
        "supports_assistant_prefill": false,
        "supports_embedding_image_input": false,
        "supports_parallel_function_calling": true
      },
      "pricing": {
        "input_cost_per_token": 1.5e-06,
        "output_cost_per_token": 7.5e-06,
        "cache_read_input_token_cost": 1.5e-07,
        "cache_creation_input_token_cost": 8.33e-08
      },
      "regions": [
        { "code": "eu", "name": "Europe" }
      ],
      "alias_of": "google/gemini-3.6-flash"
    }
  ]
}

Each model id is used directly as the model parameter in your requests.

Grouped view: one entry per routable name

Many models are sold by more than one provider. Pass view=models to get one entry per routable model name, with the provider endpoints nested underneath. This is how you discover the names that Provider Routing accepts.

cURL

curl "https://api.edenai.run/v3/models?view=models"

{
  "object": "list",
  "data": [
    {
      "id": "gpt-5.6-sol",
      "object": "model",
      "created": 1785352476,
      "owned_by": "openai",
      "mode": "chat",
      "endpoint_count": 2,
      "endpoints": [
        { "id": "openai/gpt-5.6-sol", "owned_by": "openai", "...": "a full model entry, as above" },
        { "id": "azure/gpt-5.6-sol",  "owned_by": "azure",  "...": "a full model entry, as above" }
      ]
    }
  ]
}

What to expect from the shape:

id is the routable name. Send it as model and Eden AI picks which provider serves it.
Each entry in endpoints is the same object the default view returns, with its own pricing, capabilities, context length and regions. Nothing is summarised at the name level, because providers of one model genuinely differ on all of it. To compare providers, read endpoints.
owned_by changes meaning between the views. On a grouped entry it is who authored the model (openai); on an endpoint entry it is the provider selling it (azure).
created is the newest endpoint’s timestamp, and endpoint_count equals endpoints.length.
The default (view=endpoints, or no parameter) is unchanged, and both entry shapes stay compatible with the OpenAI SDK’s client.models.list().

Every model listing takes the same parameter: /v3/models, /v3/embeddings/models, /v3/moderations/models, /v3/audio/transcriptions/models, /v3/audio/speech/models and /v3/images/models.

Model aliases

Some models are available under a stable alias, a version-agnostic name that always points to the current release, alongside versioned or dated snapshot IDs:

Stable alias: google/gemini-flash-latest, anthropic/claude-sonnet-latest, deepseek/deepseek-chat
Versioned snapshot: anthropic/claude-opus-4-5-20251101

Use the stable alias when you want your integration to keep working as providers ship new versions. Pin a versioned snapshot when you need a fixed, reproducible model. Either form works as the model parameter. Alias entries report the concrete model they currently resolve to in the alias_of field, as in the response example above. The catalog lists both forms when a provider exposes them, so you may see a stable alias (e.g. anthropic/claude-opus-4-5) and one or more dated snapshots (e.g. anthropic/claude-opus-4-5-20251101) side by side. Use the stable alias to always get the latest version, or a dated snapshot to pin to a specific release.

Capabilities

The capabilities object describes what each model supports:

Field	Description
`input_modalities`	Input types the model accepts: `text`, `image`, `audio`, `video`, `file`
`output_modalities`	Output types the model produces
`supports_reasoning`	Model supports extended thinking / reasoning mode
`supports_web_search`	Model can perform live web searches via `web_search_options`
`supports_function_calling`	Model supports function/tool calling
`supports_tool_choice`	Model supports the `tool_choice` parameter
`supports_prompt_caching`	Model supports prompt caching
`supports_response_schema`	Model supports structured output with a response schema
`supports_system_messages`	Model accepts system messages
`supports_computer_use`	Model supports computer-use tooling
`supports_parallel_function_calling`	Model can call multiple tools in one turn
`supports_assistant_prefill`	Model accepts a pre-filled assistant message
`supports_native_streaming`	Model supports native streaming responses
`supports_embedding_image_input`	Model accepts image input for embeddings

Some models expose extra provider-specific keys (e.g. supports_pdf_input, supports_audio_input), and a few return "capabilities": null. Treat a missing key or a null object as “not supported”.

You can also browse all features and providers visually in the Eden AI model catalog.

Need EU data residency? Hit https://api.eu.edenai.run/v3/models instead and the list is automatically filtered to EU-eligible models. See EU Endpoint.

Looking for OCR, image, or audio models? See List Expert Models for the full catalog of expert model features.

V3 Documentation

Quick Start

Overview

LLMs

Expert Models

General

Organization

Data Governance

Integrations

Endpoint

Example

Response

Grouped view: one entry per routable name

Model aliases

Capabilities

​Endpoint

​Example

​Response

​Grouped view: one entry per routable name

​Model aliases

​Capabilities

Endpoint

Example

Response

Grouped view: one entry per routable name

Model aliases

Capabilities