FreeLLMAPI
What it is
Overview
An API aggregator that routes requests across 601 free LLMs through a single OpenAI-compatible endpoint. FreeLLMAPI sits in the developer infrastructure category, pooling free tiers from 18 different AI providers into one key. The typical user is a developer or AI engineer looking to cut model costs during prototyping or low-volume production. Built as a wrapper service that handles provider switching and rate limit management automatically.
At a glance
Usability & Quality overview
Best for
- AI prototyping
- developer experimentation
- cost-sensitive early-stage workflows
Watch out for
- production reliability
- provider ToS constraints
- free-tier quota volatility
Built on another provider's modelResells a third-party model API
FreeLLMAPI combines free API tiers from 18 different LLM providers behind a single endpoint with automatic failover when one provider hits rate limits. This infrastructure aggregation with health monitoring and seamless routing offers genuine value beyond just prompting ChatGPT directly.
Strong evidenceQuality score
FreeLLMAPI OpenAI-compatible routing across many free LLMs for fast prototyping, but not a production-grade backend.
This score is our editorial judgment, computed automatically from the sources, weights, and dates shown above. It reflects the data we could verify as of August 25, 2026, not a guarantee or statement of fact about FreeLLMAPI. Third-party ratings and quotes belong to their original platforms and authors. Thin data lowers our confidence label, and we say so instead of guessing. Work on FreeLLMAPI? Dispute any datapoint and we will review it, publish your response, and correct verified errors.
Plans
Pricing
How free is free?
Genuinely free
7.4B free tokens/month across 601 models; Premium adds newer models
What you get for free
- Access to 601 language models across 34 providers
- 7.4 billion free tokens per month
- OpenAI-compatible API key
- Self-hosted router with live catalog updates
Behind the paywall
- Access to 303 additional newer modelsPremium Annual
- Immediate access to new models and fixesPremium Annual
Community feedback
Aggregated reviews
Ratings and quoted comments below are aggregated from third-party sources and reflect those users' views, not SearchTools.ai's.
What reviewers talk about
themes inside the Sentiment pillar — not score ingredients
83Output Qualitythin data · 9 mentions
“I made FreeLLMAPI that stacks the official free tiers of 18 LLM providers (161 models, \~1.7B tokens/month combined) behind one OpenAI compatible endpoint. It tracks each key's rate limits, checks health, and fails over automatically, so your app just gets an answer from whichever provider has quota. MIT, self-hosted, single Docker container. Newest additions: an Anthropic-compatible endpoint so Claude Code works, image gen and TTS, latency analytics. Repo: https://github.com/tashfeenahmed/freel”
“I made FreeLLMAPI that stacks the official free tiers of 18 LLM providers (161 models, \~1.7B tokens/month combined) behind one OpenAI compatible endpoint. It tracks each key's rate limits, checks health, and fails over automatically, so your app just gets an answer from whichever provider has quota. MIT, self-hosted, single Docker container. Newest additions: an Anthropic-compatible endpoint so Claude Code works, image gen and TTS, latency analytics. Repo: https://github.com/tashfeenahmed/freel”
“is helps protect our community Sign in Learn more This Open-Source Tool Makes LLM APIs Almost Free (FreeLLMAPI) Better Stack 194K subscribers Subscribe 603 Share Save 18K views 4 days ago FreeLLMAPI lets developers combine free LLM API tiers from providers like Groq, Cerebras, Google AI Studio, Mistral, NVIDIA, OpenRouter and more behind one OpenAI-compatible endpoint. In this video, I show how FreeLLMAPI works, how to self-host it, add your API keys, connect tools, and use automatic routing,”
“I am using this right now and think is awesome. There is a big learning curve since the answers can be very different from the different models but I am really happy with the project itself. My biggest struggle was to establish a https route since some tools do not accept http traffic.”
100Value & Pricingthin data · 6 mentions
“I made FreeLLMAPI that stacks the official free tiers of 18 LLM providers (161 models, \~1.7B tokens/month combined) behind one OpenAI compatible endpoint. It tracks each key's rate limits, checks health, and fails over automatically, so your app just gets an answer from whichever provider has quota. MIT, self-hosted, single Docker container. Newest additions: an Anthropic-compatible endpoint so Claude Code works, image gen and TTS, latency analytics. Repo: https://github.com/tashfeenahmed/freel”
“I made FreeLLMAPI that stacks the official free tiers of 18 LLM providers (161 models, \~1.7B tokens/month combined) behind one OpenAI compatible endpoint. It tracks each key's rate limits, checks health, and fails over automatically, so your app just gets an answer from whichever provider has quota. MIT, self-hosted, single Docker container. Newest additions: an Anthropic-compatible endpoint so Claude Code works, image gen and TTS, latency analytics. Repo: https://github.com/tashfeenahmed/freel”
“I use it to feed an alpaca trading bot. works great and saves me 6$ a day.”
“It’s good, the problem is the free tier limits in Open Router. I prefer to use freellmapi to route different free tier LLMs depending on the usage. I works great.”
64Reliability10 mentions
“I made FreeLLMAPI that stacks the official free tiers of 18 LLM providers (161 models, \~1.7B tokens/month combined) behind one OpenAI compatible endpoint. It tracks each key's rate limits, checks health, and fails over automatically, so your app just gets an answer from whichever provider has quota. MIT, self-hosted, single Docker container. Newest additions: an Anthropic-compatible endpoint so Claude Code works, image gen and TTS, latency analytics. Repo: https://github.com/tashfeenahmed/freel”
“Thanks for sharing but the github returns 404”
“Is the repo public or private because it’s coming up as 404”
“I made FreeLLMAPI that stacks the official free tiers of 18 LLM providers (161 models, \~1.7B tokens/month combined) behind one OpenAI compatible endpoint. It tracks each key's rate limits, checks health, and fails over automatically, so your app just gets an answer from whichever provider has quota. MIT, self-hosted, single Docker container. Newest additions: an Anthropic-compatible endpoint so Claude Code works, image gen and TTS, latency analytics. Repo: https://github.com/tashfeenahmed/freel”
Watch & learn
Video content
YouTube
YOUTUBE19K views4 Billion Free LLM Tokens… One API (FreeLLMAPI)
betterstack4 days ago
YOUTUBE1K viewsBillions of Free LLM Tokens Are Now Up for Grabs (FreeLLMAPI)
CodeAProgramtoday
YOUTUBE4 viewsBuild Private Knowledge Assistant with Freellmapi & Tech Stack
TheMrOzz8 days ago
YOUTUBE0 viewsFreeLLMAPI: 74억 토큰 최적화
StudioWhatHappenedtoday
Capabilities
Key features
Developer Tools
Provides utilities that help programmers build, test, and ship software faster
API Design
Designs and documents API endpoints, schemas, and contracts from your requirements
The honest take
What users love & flag
Distinct themes surfaced across user reviews — each grounded in real review text, ranked by how often it comes up.
Questions
Frequently asked
What is FreeLLMAPI?
FreeLLMAPI is a self-hosted router that provides access to 601 free language models across 34 providers through a single OpenAI-compatible API key. It eliminates the complexity of managing separate API keys, rate limits, and endpoints for dozens of LLM providers by offering one unified endpoint. The system tracks approximately 7.4 billion free tokens per month and maintains a live catalog showing real-time model availability and quota changes.
Is FreeLLMAPI free to use?
Yes, FreeLLMAPI offers a free tier that provides access to the basic router functionality with all 601 models across 34 providers. There are also paid options: Premium Annual for $19/year and Premium Lifetime for $49 one-time, which provide access to 303 additional models ahead of the free tier and real-time updates for new models and fixes.
What makes FreeLLMAPI different from other LLM aggregation services?
FreeLLMAPI is self-hosted, meaning your provider API keys remain local on your system rather than being shared with a third-party service. It focuses specifically on free models to help developers with cost-effective experimentation, and provides a live catalog with real-time visibility into model availability and quota status that updates automatically as providers make changes.
Which frontier models can I access through FreeLLMAPI?
FreeLLMAPI provides access to cutting-edge models including MiniMax M3, Kimi K3, Gemini 3.6 Flash, Qwen3.5, GLM 5.2, DeepSeek V4 Pro, and Nemotron 3 Ultra. All of these frontier models are available at no cost through the unified API endpoint.
How does the OpenAI compatibility work?
FreeLLMAPI uses the standard OpenAI API format, so you can integrate it with existing codebases and development workflows without modification. You simply input requests through the familiar OpenAI interface, and FreeLLMAPI automatically routes them to the appropriate free models based on availability and quotas.
What is the live catalog feature?
The live catalog is a real-time tracking system that shows current model availability, quota changes, and new model additions across all 34 providers. It automatically updates as providers make changes, giving you visibility into which models are currently available and their quota status without having to check each provider individually.
Can I use FreeLLMAPI for commercial projects?
FreeLLMAPI is built for personal use only, and each provider's individual terms of service apply to your usage. The tool is designed as a self-hosted solution that you should not expose publicly, so you'll need to check each underlying provider's terms for your specific use case.
What capabilities does FreeLLMAPI support?
FreeLLMAPI supports a wide range of AI capabilities including content generation, code generation and debugging, conversational AI chat, document analysis, translation, summarization, and math problem solving. Since it routes to 601 different models, the specific capabilities depend on which models you're accessing through the unified endpoint.
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