Models.dev

Open-source database of AI models — compare specs, pricing, and providers for hundreds of models

Verified Free tier
Quick facts
What is it Open-source database of AI models — compare specs, pricing, and providers for hundreds of models
Pricing Free
Free tier Yes
Platform Web Application
Best for comparing AI model capabilities, finding model providers and pricing
Domain registered 2025

Data updated Sept. 19, 2026

What does Models.dev do?

Models.dev is an open-source database that lists hundreds of AI models from labs like OpenAI, Google, Meta, Anthropic, Alibaba, and DeepSeek. It gives you a single table to compare models by context length, output size, reasoning ability, tool calling, structured output support, and pricing. Each row shows the model name, the lab that created it, how many providers offer it, and the release date. You can see at a glance whether a model is open or closed weight, and what it costs per token for input and output.

The site works like a searchable spreadsheet. You can filter by lab, capabilities, or price. Clicking a model takes you to a detail page with more information and a list of providers. The data is kept up to date — the table shows recent releases and updates. Because it's open source, anyone can contribute improvements or additions via the GitHub repository. There's no login, no API, and no affiliate links — just a straightforward reference.

Developers and researchers will find this useful for quickly comparing models before choosing one for a project. Tech buyers can check pricing across providers. If you need to know which models support reasoning or tool calling, or how much context they handle, Models.dev saves you from digging through multiple documentation pages. It's a practical, no-frills directory for anyone working with large language models.

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Key features

What makes it stand out
01
Browse and compare AI models from labs like OpenAI, Google, Meta, and Anthropic in one place
02
See detailed specs: context length, output limits, reasoning, tool calling, and structured output support
03
Check pricing per model across multiple providers with per-token costs
04
Filter models by lab, capabilities, open/closed weights, and release date
05
Open-source project with a GitHub repository for community contributions

Who is Models.dev for?

Who benefits most from this tool
comparing AI model capabilities
finding model providers and pricing
researching model specifications

Trust & presence

Domain Domain registered 2025

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