open-free-llm-api/awesome-freellm-apis

134+ free LLM APIs & AI API keys from 40+ providers. Google Gemini, NVIDIA NIM, Groq, OpenRouter & more. One-click setup for Claude Code, Cursor and Codex.

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Summary Information

Updated 2 hours ago
Added to GitGenius on September 21st, 2026
Created on May 10th, 2026
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Enabled
Number of forks: 482
Total Stargazers: 3,282 (+8)
Total Subscribers: 25 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 35.7 days
Mean response time: 41.2 days
90th percentile: 81.8 days
Tracked items: 12

Charts & Analytics

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 11
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 11
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (3)

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Detailed Description

Awesome-freellm-apis is a curated collection of free large language model APIs and AI service providers.

The project addresses the challenge of discovering and accessing free LLM APIs by aggregating offerings from multiple providers in a single reference. Rather than searching across different vendor websites and documentation, developers can browse a consolidated list that includes API endpoints, authentication requirements, and setup instructions. The collection spans providers offering various model types and capabilities, enabling developers to evaluate options without upfront costs.

Developers should consider this resource when prototyping applications, learning about available LLM services, or seeking cost-free alternatives for development and testing. It suits projects in early stages where budget constraints exist or where experimentation with multiple providers is valuable. The project includes one-click setup guidance for integration with popular development tools, reducing friction for quick evaluation. This makes it particularly useful for those new to LLM APIs who need a starting point rather than a comprehensive feature comparison.

The project maintains an active collection with regular updates to reflect new providers and API changes. Documentation is organized for easy browsing and reference lookup. The resource appears designed for practical utility rather than deep technical depth, focusing on accessibility and quick discovery over exhaustive implementation details.