What are the main features of Models.dev?

Key features include access to a wide range of AI model specifications, pricing, and capabilities, an available API for programmatic access, structured metadata for model-agnostic agents, and tools for comparing models across various parameters.

How does Models.dev compare to alternatives?

Models.dev differentiates itself as an open-source metadata database, providing factual comparisons of AI models. Unlike platforms like Hugging Face Hub (a comprehensive ML ecosystem), Replicate (hosted inference), or OpenRouter (unified API gateway), Models.dev focuses purely on consolidating and structuring model information rather than providing model hosting or inference services.

AI Tool

Models.dev Review

An open-source database for AI model specifications, pricing, and capabilities.

shipped Jul 7, 2026aifreemium

Why it matters

1Models.dev is an open-source database providing comprehensive specifications, pricing, and capabilities for a wide range of AI models.

2It offers a programmatic API for developers to access structured AI model metadata.

3The platform serves API builders, AI product teams, and platform engineers for model shortlisting and comparative analysis.

4Models.dev has recorded 83 incidents in the last 90 days, with the most recent incident occurring on 2026-07-01.

About Models.dev

Platforms

Web

API Docs GitHubOpen Source

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is Models.dev?

Models.dev is an AI model metadata database tool developed by anomalyco that enables API builders, AI product teams, and platform engineers to access comprehensive specifications, pricing, and features of various AI models. It serves as a centralized, structured source of truth for AI model metadata, addressing the challenge of scattered information across different provider documentation. The platform functions as a comprehensive, open-source database of AI model specifications, pricing, and features, rather than a model router or an inference provider. It offers a structured resource for quickly gathering facts about AI models before committing to testing or integration. Models.dev is actively maintained, with recent discussions (June-July 2026) highlighting its utility, particularly in conjunction with tools like OpenCode, which leverages Models.dev internally for model selection. The project's GitHub repository shows ongoing contributions, with a merge pull request from August 2025, indicating continuous data updates. User reception is generally positive, with developers appreciating its open-source nature and its ability to simplify the initial screening process for AI models, though some feedback suggests a desire for improved user interface/experience.

features

Key Features of Models.dev

Models.dev provides a robust set of features designed to centralize and standardize information about AI models for developers and product teams.

Access to a wide range of AI models from various providers.
Comprehensive open-source database of AI model specifications.
Detailed pricing information for cataloged AI models, including token costs.
Capabilities information for AI models, such as context limits and modalities.
API available for programmatic access to AI model data via JSON endpoints.
Structured metadata for model-agnostic agents and coding tools.
Comparison functionalities for AI model pricing, context, modalities, and capabilities.
Community-contributed data ensuring broad coverage and ongoing updates.

use cases

Who Should Use Models.dev?

Models.dev is primarily designed for technical professionals and teams involved in AI product development and integration, seeking a reliable source for AI model information.

API Builders: To access AI model data programmatically via an API for internal tools and comparisons.
AI Product Teams: For checking basic facts about AI models before integration into products and building a shortlist for further evaluation.
Platform Engineers: To compare AI model pricing, context, modalities, and capabilities for system design.
Developers: For providing structured metadata for model-agnostic agents and coding tools, especially for agentic AI development requiring specific features like tool calling support.

how to use

How to Use Models.dev

Utilizing Models.dev involves accessing its web interface or programmatic API to retrieve detailed information about various AI models.

1Access the Models.dev website at https://models.dev/ to browse the model catalog.
2Utilize the search and filter functions on the platform to identify specific model specifications, pricing, and features.
3Consult the API documentation at https://github.com/anomalyco/models.dev#api to programmatically access AI model data.
4Integrate the Models.dev API into internal tools or applications for automated model selection and data retrieval.
5Contribute to the open-source database by submitting updates or new model information via its GitHub repository.

pricing

Models.dev Pricing & Plans

Models.dev operates as an open-source database, meaning there are no direct costs or pricing plans associated with using the Models.dev tool or accessing its data. The platform itself is free to use and access. Its primary function, however, is to provide comprehensive pricing details for the various AI models it catalogs from different providers. These pricing details are specific to the individual model providers and can vary significantly, often including input and output token costs per million tokens, and sometimes cache-read and cache-write costs. Therefore, while Models.dev is free, the AI models it describes may incur usage-based costs from their respective providers.

Models.dev Platform: Free (open-source database access).
Cataloged AI Models: Pricing varies by individual model provider (e.g., per-token costs for LLMs).

Pros

+Provides a centralized, open-source database for comprehensive AI model specifications, pricing, and capabilities.
+Offers programmatic access via a JSON API, facilitating integration into internal tools and automated workflows.
+Enables detailed comparative analysis of AI models across various providers based on objective facts.
+Supports initial model shortlisting for API builders and AI product teams, streamlining evaluation processes.
+Actively maintained and community-contributed, ensuring ongoing updates to model data.
+Useful for agentic AI development by providing critical features like tool calling support and context window sizes.

Cons

−Models.dev is a metadata provider, not an inference platform; it does not host or run AI models.
−Relies on community contributions for data accuracy and timeliness, which can vary.
−User interface/experience has been noted by some users as an area for potential improvement.
−The platform's status feed is officially linked to https://status.openai.com, which may cause confusion regarding its own operational status.
−Recorded 83 incidents in the last 90 days, with the last incident on 2026-07-01, indicating potential service reliability concerns for its own operations.

Policies

Free Tier

Vendor website advertises a free tier.

Similar Tools

Models.dev vs Competitors

Models.dev differentiates itself by focusing on being an open-source, community-contributed *metadata database* for AI models, rather than an inference provider or a unified API gateway. Its core value lies in consolidating scattered information into a single, queryable dataset.

Hugging Face HubOn Stork Compare

It is the leading open-source platform for machine learning, offering a vast repository of models, datasets, and tools for the AI community.

While Models.dev provides access to various models, Hugging Face Hub is a more comprehensive ecosystem for ML development, including model hosting, versioning, and collaboration features, with a strong emphasis on open-source contributions and a freemium model for many services.

ReplicateOn Stork Compare

Replicate simplifies running and deploying open-source AI models with a simple API, abstracting away infrastructure complexities.

Replicate focuses on providing hosted inference APIs for open-source models, which is a direct way to access models similar to Models.dev, but it emphasizes ease of deployment and scaling for developers rather than a broad marketplace for various providers.

OpenRouterOn Stork Compare

OpenRouter acts as a unified API gateway to over 100 different AI models from various providers, streamlining access and billing through a single endpoint.

Similar to Models.dev in aggregating access to multiple models, OpenRouter specifically targets developers with a single API key and transparent per-token pricing, aiming to simplify the integration and management of diverse AI models in production.

Krater.aiOn Stork Compare

Krater.ai provides a single platform to access and switch between 350+ AI models, including major LLMs, for various tasks under one login, emphasizing ease of use and cost savings over multiple subscriptions.

Krater.ai directly competes by offering a user-friendly interface to access a wide array of AI models, similar to Models.dev, but it highlights its ability to replace multiple individual AI subscriptions with a single, more affordable plan, catering to both individual users and teams.

AIMLAPI.com↗

AIMLAPI.com offers a single API to access over 600 AI models across various modalities, focusing on cost efficiency and broad compatibility for developers.

Like Models.dev, AIMLAPI.com provides access to a vast number of AI models from different providers, but it positions itself as a highly cost-effective and scalable API solution for developers, offering a unified gateway for chat, reasoning, image, video, and audio models.

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GitHubgithub.com/sst/models.dev

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