awesome-free-llm-apis: Open Directory of 495+ Free LLM APIs Across 30 Providers

An open-source directory indexing 495+ free LLM APIs across 30 providers—including NVIDIA NIM, Google Gemini, Hugging Face, DeepSeek, and xAI—with rate limits,

tau · October 4, 2026

#FreeAPI #LLM #DevTools #OpenSource #ClaudeCode #Cursor #AITools

awesome-free-llm-apis: Open Directory of 495+ Free LLM APIs Across 30 Providers

The open-source community has released 'awesome-free-llm-apis', a structured directory repository aggregating free LLM API endpoints and model specifications from major AI providers. The project indexes over 495 free models from more than 30 providers—including NVIDIA NIM, Google Gemini, Hugging Face, DeepSeek, xAI, and Groq—enabling developers to compare available options and integrate them directly into development environments.

Concept illustration of the awesome-free-llm-apis directory organizing 495+ free LLM APIs and coding agent configurations across 30 providers

Image source: @k2sbhai / X

As new foundation models launch at an accelerating pace, finding and configuring free tiers across fragmented documentation for prototyping or agentic coding workflows often requires considerable overhead. This directory aims to simplify that discovery by consolidating rate limits, token allowances, and onboarding requirements into a transparent, searchable catalog.

Centralized Directory of 495+ Free LLM APIs Across 30 Providers

'awesome-free-llm-apis' curates over 495 free API endpoints hosted by more than 30 commercial and open-weight AI providers.

The catalog covers popular platforms such as Google Gemini, NVIDIA NIM, Groq, OpenRouter, Hugging Face, DeepSeek, and xAI. Rather than restricting entries to generic chat completions, models are categorized across diverse modalities and specialized tasks, including text generation, code synthesis, deep reasoning, vision/multimodal understanding, embeddings, and reranking.

  • Supported Providers: Over 30 providers, including Google Gemini, NVIDIA NIM, Groq, OpenRouter, Hugging Face, DeepSeek, and xAI.
  • Model Modalities: Spans text generation, code assistance, reasoning, vision, embeddings, and reranking models.
  • Accessible Tiers: Clearly flags providers that offer instant API access via simple email sign-up without requiring a credit card.

Structured Comparison: Context Windows, Rate Limits, and No-Card Access

Beyond a plain list of links, the repository provides structured comparison tables detailing key operational parameters:

  • Context Windows and Output Limits: Explicitly details input context capacity and maximum output token ceilings for each model, assisting in prompt sizing and long-context suitability assessments.
  • Rate Limits (RPM / TPM / RPD): Lists requests per minute, tokens per minute, and daily request caps across free tiers, helping developers design resilient retry and fallback strategies.
  • No Credit Card Filtering: Identifies providers that grant free quotas immediately upon registration without payment card input, minimizing onboarding friction for testing.
  • Permanent Free vs. Trial Credits: Differentiates between recurring zero-cost tiers and time-limited initial credits to support sound long-term development planning.

One-Click Configs for Claude Code, Cursor, and Coding Agents with Daily Sync

To accelerate onboarding, the repository offers ready-to-copy OpenAI-compatible configuration snippets tailored for modern AI coding tools:

  • Ready-to-Use Agent Configs: Provides environment variable templates and configuration snippets for more than 10 popular developer tools, including Claude Code, Cursor, Codex, Open WebUI, and Aider.
  • Direct API Key Links: Routes developers straight to each provider's API key management dashboard to eliminate documentation navigation.
  • Automated Daily Updates: Employs automated sync mechanisms to refresh model statuses, newly added endpoints, and deprecated listings daily.

Caveats and Free-Tier Policy Management

Free API tiers remain subject to sudden modifications in rate limits, daily quotas, and model availability depending on individual provider policies. Some providers may introduce approval gates or transition experimental tiers to paid plans after initial promotional periods. Developers integrating these endpoints into mission-critical or production workloads should cross-check specifications against official provider documentation.

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