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Gemini 3.5 Flash Lite: free via FreeLLMAPI

Gemini 3.5 Flash Lite: served free by 1 provider, up to 1.0M context, tool calling, vision. Live limits, quirks, and quota on freellmapi.co.

Google AI Studio

gemini-3.5-flash-lite
Context window1.0M tokens
Free budget~3M tokens/mo
Requests / min15 RPM
Requests / day20 RPD
Tokens / min250K TPM
Thinking tokens use output cap info
Gemini Flash can spend hidden thinking tokens inside maxOutputTokens. Avoid tiny max_tokens values or set thinkingBudget to 0 when provider support is available.

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Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free Google AI Studio key, and gemini-3.5-flash-lite 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 gemini-3.5-flash-lite with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.5-flash-lite",
    "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="gemini-3.5-flash-lite",
    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.