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Models.dev is a comprehensive open-source database of AI model specifications, pricing, and capabilities.

There's no single database with information about all the available AI models. We started Models.dev as a community-contributed project to address this. We also use it internally in opencode.

API

You can access this data through an API.

curl https://models.dev/api.json

Use the Model ID field to do a lookup on any model; it's the identifier used by AI SDK.

Logos

Provider logos are available as SVG files:

curl https://models.dev/logos/{provider}.svg

Replace {provider} with the Provider ID (e.g., anthropic, openai, google). If we don't have a provider's logo, a default logo is served instead.

Contributing

The data is stored in the repo as TOML files; organized by provider and model. The logo is stored as an SVG. This is used to generate this page and power the API.

We need your help keeping the data up to date.

Adding a New Model

To add a new model, start by checking if the provider already exists in the providers/ directory. If not, then:

1. Create a Provider

If the provider isn't already in providers/:

1. Create a new folder in providers/ with the provider's ID. For example, providers/newprovider/.

2. Add a provider.toml with the provider details:

   name = "Provider Name"
   npm = "@ai-sdk/provider" # AI SDK Package name
   env = ["PROVIDER_API_KEY"] # Environment Variable keys used for auth
   doc = "https://example.com/docs/models" # Link to provider's documentation

   If the provider doesn’t publish an npm package but exposes an OpenAI-compatible endpoint, set the npm field accordingly and include the base URL:

   npm = "@ai-sdk/openai-compatible" # Use OpenAI-compatible SDK
   api = "https://api.example.com/v1" # Required with openai-compatible

2. Add a Logo (optional)

To add a logo for the provider:

1. Add a logo.svg file to the provider's directory (e.g., providers/newprovider/logo.svg)
2. Use SVG format with no fixed size or colors - use currentColor for fills/strokes

Example SVG structure:

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor">
  <!-- Logo paths here -->
</svg>

3. Add a Model Definition

Create a new TOML file in the provider's models/ directory where the filename is the model ID:

name = "Model Display Name"
attachment = true           # or false - supports file attachments
reasoning = false           # or true - supports reasoning / chain-of-thought
tool_call = true            # or false - supports tool calling
temperature = true          # or false - supports temperature control
knowledge = "2024-04"       # Knowledge-cutoff date
release_date = "2025-02-19" # First public release date
last_updated = "2025-02-19" # Most recent update date

[cost]
input = 3.00                # Cost per million input tokens (USD)
output = 15.00              # Cost per million output tokens (USD)
cache_read = 0.30           # Cost per million cached read tokens (USD)
cache_write = 3.75          # Cost per million cached write tokens (USD)

[limit]
context = 200_000           # Maximum context window (tokens)
output = 8_192              # Maximum output tokens

[modalities]
input = ["text", "image"]   # Supported input modalities
output = ["text"]           # Supported output modalities

4. Submit a Pull Request

1. Fork this repo
2. Create a new branch with your changes
3. Add your provider and/or model files
4. Open a PR with a clear description

Validation

There's a GitHub Action that will automatically validate your submission against our schema to ensure:

• All required fields are present
• Data types are correct
• Values are within acceptable ranges
• TOML syntax is valid

Schema Reference

Models must conform to the following schema, as defined in app/schemas.ts.

Provider Schema:

• name: String - Display name of the provider
• npm: String - AI SDK Package name
• env: String[] - Environment variable keys used for auth
• doc: String - Link to the provider's documentation
• api (optional): String - OpenAI-compatible API endpoint. Required when using @ai-sdk/openai-compatible as the npm package.

Model Schema:

• name: String — Display name of the model
• attachment: Boolean — Supports file attachments
• reasoning: Boolean — Supports reasoning / chain-of-thought
• tool_call: Boolean - Supports tool calling
• temperature: Boolean — Supports temperature control
• knowledge (optional): String — Knowledge-cutoff date in YYYY-MM or YYYY-MM-DD format
• release_date: String — First public release date in YYYY-MM or YYYY-MM-DD
• last_updated: String — Most recent update date in YYYY-MM or YYYY-MM-DD
• cost.input (optional): Number — Cost per million input tokens (USD)
• cost.output (optional): Number — Cost per million output tokens (USD)
• cost.cache_read (optional): Number — Cost per million cached read tokens (USD)
• cost.cache_write (optional): Number — Cost per million cached write tokens (USD)
• limit.context: Number — Maximum context window (tokens)
• limit.output: Number — Maximum output tokens
• modalities.input: Array of strings — Supported input modalities (e.g., ["text", "image", "audio", "video", "pdf"])
• modalities.output: Array of strings — Supported output modalities (e.g., ["text"])

Examples

See existing providers in the providers/ directory for reference:

• providers/anthropic/ - Anthropic Claude models
• providers/openai/ - OpenAI GPT models
• providers/google/ - Google Gemini models

Working on frontend

Make sure you have Bun installed.

$ bun install
$ cd packages/web
$ bun run dev

And it'll open the frontend at http://localhost:3000

Questions?

Open an issue if you need help or have questions about contributing.

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Models.dev is created by the maintainers of SST.

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