FreeLLMAPI
10.1 billion tokens per month. 87 free LLM providers. 1,313 free model endpoints. One OpenAI-compatible endpoint.
Aggregate free tiers from dozens of providers, plus custom OpenAI-compatible chat, embedding, image, and audio endpoints, behind a single /v1 API. Keys are stored encrypted. A router picks the best available model for each request, falls over to the next provider when one is rate-limited, and tracks per-key usage so you stay under every free-tier cap.
freellmapi.co · browse the full catalog: 736 model families, 1,313 free endpoints
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Your router updates its own model catalog from a signed feed: new free models, quota changes, and compatibility fixes land without a git pull. Free installs get the monthly snapshot, so a model reaches them 30 days after it joins the live feed; premium routers get it the same day.
Go live at freellmapi.co ($19/yr, cancel anytime).
Contents
Guides: Install & deploy · API reference · Clients & coding agents · Prompt compression · Architecture & internals · Documentation index · Contributor guide
Why this exists
Every serious AI lab now offers a free tier, a few million tokens a month, a few thousand requests a day. On its own each tier is a toy. Stacked together, they add up to roughly 10.1 billion tokens per month of working inference capacity, across 736 model families / 1,313 provider endpoints from small-and-fast to reasonably capable.
The problem is that stacking them by hand is painful: eighty-seven different SDKs, eighty-seven different rate limits, eighty-seven places a request can fail. FreeLLMAPI collapses that into one OpenAI-compatible endpoint. Point any OpenAI client library at your local server, and it routes transparently across whichever providers you've added keys for.
And the free-tier landscape shifts weekly: providers launch models, retire them, and change quotas without notice. FreeLLMAPI tracks all of that for you. The router pulls a signed model catalog from freellmapi.co on its own, so your install keeps up without a git pull. See Premium (live catalog) for how fast it keeps up.
Supported providers
… and 75 more free providers
Plus a custom provider — point chat, embedding, image, or audio models at any OpenAI-compatible endpoint (llama.cpp, LM Studio, vLLM, a local Ollama, or a remote gateway) from the Keys page.
The full, always-current list lives at freellmapi.co/models with per-model rate limits, context windows, and free-token budgets.
Compatible CLIs & coding agents
… plus Continue, Goose, Qwen Code, Kilo Code, Crush, Zed, JetBrains AI, DeepSeek Harness, MiMo Code, AtomCode, OpenClaw, Hermes Agent, Pi, Reasonix, ZCode and any OpenAI-compatible, Anthropic, Gemini or Ollama client
Most agents configure themselves with one command that reads your live catalog, backs up the existing config and merges into it:
npx freellmapi setup-claude --url http://localhost:3001 --api-key <unified-key>
All supported agents and their setup commands → · Per-tool recipes, MCP server and URL tokens →
How it compares
Based on public documentation, July 2026 — corrections welcome.
Features
This is the beginning of the README. Read the rest at the original. Read the full README ↗
