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awesome-free-models: Find Free AI Models, APIs, and Tools

A curated directory of free AI models, API tiers, and tools for local inference and AI development. Use it to compare options for experimentation or self-hosting, then verify current pricing and access terms with each provider.

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Stars
2.4k
Forks
219
Stars, last 30 days
+169

Our take

Health score

40/100

How it is scored
Activity
43
Community
28
Issues
46
Pull requests
44

+169 stars in the last 30 days

Project history

Daily GitHub snapshots since Oct 7, 2026. History covers stars and forks; health signals are not tracked historically.

Selected snapshot

Stars

2,655

Forks

272

Change since Nov 14, 2026: +2 stars·0 forks

Overview

awesome-free-models is an “awesome” list for people looking to use AI without paying for every model call. It brings together open-weight models, hosted API options, and software for running, building, and evaluating AI systems.

It is most useful as a discovery and comparison starting point, rather than as a service or a guarantee that every listed option is permanently free. The README includes availability notes and dates for its checks; consult it and the linked providers before choosing a tool.

Key Features

  • Organizes resources into 21 sections, including models, API providers, local inference, coding assistants, datasets, and evaluation tools.
  • Lists open-weight models that can be downloaded and run on local hardware.
  • Covers hosted API providers and notes when free access is limited, trial-based, or unavailable.
  • Includes tools for local inference, chatbot interfaces, RAG, agents, fine-tuning, and prompt evaluation.
  • Provides links to official model, provider, and project pages for follow-up.
  • Adds dated link-check notes and caveats about links that block automated checks or require authentication.

Use Cases

  • A developer prototyping an AI feature can compare API providers with no-cost tiers before committing to a paid service.
  • A privacy-conscious user can find open-weight models and local inference software to run models on their own hardware.
  • An AI application builder can discover tools for RAG, agents, evaluation, and model serving in one directory.
  • A learner exploring AI engineering can use the categorized links to find models, datasets, and free learning resources.

Getting Started

Browse the README and choose a category, then check the linked provider or project for current access terms and setup instructions. There is no installation step for the list itself.

Alternatives

  • awesome-ai: Covers AI APIs, tools, frameworks, and platforms broadly, rather than focusing on free models, API tiers, and local inference.
ProjectLanguageLicenseStarsStatus
awesome-free-models–Other2.4kNot checked yet
awesome-ai–CC0-1.07Active

Considerations

  • “Free” can mean a permanent free tier, limited usage, a trial, or a temporary promotion. The README itself flags changes and exclusions, so verify terms before relying on a provider.
  • The directory covers resources with different licenses and hardware needs. Check each model or tool’s license and system requirements before use.
  • Link checks are snapshots. Some sites block automated checks, require authentication, or may become unavailable after a check.

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