SimpleLLM
free-gemma-4-E4B
Context window131K tokens
Free budgetShared hourly/daily free-model quota tokens/mo
Rate limitsnot published
Shared hourly and daily free-model quota info
Only the selected free aliases qualify. Tests ran with zero purchased balance and cost_sc=0. Account-reported free quotas are shared across models: 100 requests/hour, 1,000/day, 50K tokens/hour and 500K/day at verification; account limits may change. This is renewable free access, not a monthly dollar grant. Update FreeLLMAPI to a build with the SimpleLLM adapter. See https://simplellm.eu/docs/limits.html.
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.
Go live · $19/yr →Use it
FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free SimpleLLM key, and free-gemma-4-E4B 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 | bashInstall the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iexCall free-gemma-4-E4B with curl
curl http://localhost:3001/v1/chat/completions \
-H "Authorization: Bearer freellmapi-your-unified-key" \
-H "Content-Type: application/json" \
-d '{
"model": "free-gemma-4-E4B",
"messages": [{"role": "user", "content": "Say hi in five words."}]
}'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.chat.completions.create(
model="free-gemma-4-E4B",
messages=[{"role": "user", "content": "Say hi in five words."}],
)
print(resp.choices[0].message.content)The router answers on /v1/chat/completions 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.