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Free LLM model · FreeLLMAPI

Free LLM model details: providers, rate limits, context window, and quirks, served free through FreeLLMAPI.

Cloudflare Workers AI

@cf/baai/bge-m3
Context window8K tokens
Dimensions1,024
Free budget10K neurons/day (shared)
Rate limitsnot published

SEA-LION

BAAI/bge-m3
Context window8K tokens
Dimensions1,024
Free budgetfree · 10 rpm
Rate limitsnot published

HuggingFace Router

BAAI/bge-m3
Context window8K tokens
Dimensions1,024
Free budget$0.10/mo credits
Rate limitsnot published

Get this model the moment it changes

Limits move, models get replaced, better ones launch. Premium routers see this page's data live. Free routers see last month's.

Passer en direct · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free Cloudflare Workers AI key, and @cf/baai/bge-m3 answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call @cf/baai/bge-m3 with curl
curl http://localhost:3001/v1/embeddings \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{"model": "@cf/baai/bge-m3", "input": "hello world"}'
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

resp = client.embeddings.create(
    model="@cf/baai/bge-m3",
    input=["the quick brown fox"],
)
print(len(resp.data[0].embedding), "dims")

The router answers on /v1/embeddings and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.