Models.dev

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Open-source database for comparing AI models, providers, specifications, and pricing Models.dev is a comprehensive open-source database of AI model specifications, pricing, providers, capabilities, context limits, output limits, release dates, and update dates. It provides provider-agnostic model metadata, lists the providers serving each model, and organizes canonical models by laboratory or author. Users can compare models such as GPT-6 Astra across multiple providers, review features including reasoning, tool calling, structured output, temperature support, and weights availability, and access the data through JSON APIs or a type-safe SDK.

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Key Features AI

Core Features
Searchable database of AI model specifications and capabilities
Provider-by-provider pricing and model availability comparisons
Model pages with context limits, output limits, release dates, weights, and supported features
Provider pages listing available models
Laboratory pages grouping canonical models by author
JSON APIs for model, provider, and combined catalog data
Type-safe SDK with an offline snapshot
Provider and laboratory logo resources
Advantages
Open-source and focused on transparent model metadata
Combines specifications, capabilities, pricing, and provider availability
Makes it easy to compare the same model across multiple providers
Provides structured JSON endpoints for programmatic access
Offers a type-safe SDK with an offline data snapshot
Covers a broad range of commercial and open models
缺点:Provider pricing and availability may change after the database snapshot is updated
缺点:The database does not itself provide model inference or API execution
缺点:Some models or providers may have missing pricing or capability fields
缺点:The large catalog can require filtering or searching to identify the best model
缺点:Provider-specific model IDs and feature support may differ for the same canonical model

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