Models.dev
Models.dev is an open-source database that serves as a comprehensive reference for AI models. It aggregates specifications, pricing, and features from a wide range of providers and labs, enabling users to compare models side by side. The platform covers key attributes such as context window size, output token limits, reasoning capabilities, tool calling support, structured output, temperature settings, and weight availability. It also includes pricing per million tokens, release dates, and the number of providers offering each model. The database is designed to be a practical tool for developers, ML engineers, and researchers who need to evaluate models for their projects. Each model has a dedicated page with detailed information, and the main table allows for quick scanning and filtering. The data is continuously updated to reflect new releases and pricing changes, making it a valuable resource in the fast-moving AI ecosystem. As a free and open-source project, Models.dev relies on community contributions to keep the information accurate and comprehensive. It is hosted on GitHub, where users can contribute updates or report issues. The project aims to reduce the friction of researching AI models by providing a single, searchable source of truth.
- Category
- AI Models
- Pricing
- Free
Problem solved
Models.dev solves the problem of fragmented and outdated AI model information by centralizing specifications, pricing, and provider availability in one open-source database. It helps users quickly compare models and make informed decisions without visiting multiple websites.
Use cases
- Comparing AI model pricing across providers
- Finding models with specific context window sizes
- Identifying models that support tool calling or structured output
- Checking the latest release dates and updates for AI models
- Evaluating open-weight versus closed-weight models
- Selecting a model for a project based on feature requirements
Audience
- Developers
- ML Engineers
- Data Scientists
- Product Managers
- Researchers
Pros
- Free to use
- Open-source and community-driven
- Comprehensive model specifications and pricing
- Regularly updated with new models
- Includes provider availability and feature flags
Cons
- Data is community-maintained and may contain errors
- No official API for programmatic access
- May not cover every model or provider
- Pricing can change frequently and may lag behind actual rates
Official website: https://models.dev/
Canonical LambdaBase page: https://www.lambdabase.com/tools/models-dev