TackleKey
Model reference

google/gemini-3.5-flash-lite on TackleKey

Check this model ID and provider context, then confirm its current price and availability in the live marketplace before a larger test.

Model details

Endpoint

openai

OpenAI-compatible request

Use the exact public model identifier google/gemini-3.5-flash-lite. Keep the API key in a server-side environment variable and start with a small response limit.

curl https://api.tacklekey.com/v1/chat/completions \
  -H "Authorization: Bearer $TACKLEKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "google/gemini-3.5-flash-lite",
  "messages": [
    {
      "role": "user",
      "content": "Reply with a one-sentence API health check."
    }
  ],
  "max_tokens": 64
}'

How to use it

TackleKey is OpenAI-compatible for common chat completion workflows. Replace the base URL with the TackleKey endpoint, use an API key, and verify the google/gemini-3.5-flash-lite availability, endpoint support, request log, and balance record before scaling traffic.

This page is generated from a public model catalog snapshot. Live price, permissions, and route availability can change; check the model marketplace and a small request before scaling.

Related Google models

FAQ

What model ID should I send for google/gemini-3.5-flash-lite?

Use google/gemini-3.5-flash-lite exactly as shown in the current TackleKey pricing catalog, then confirm it is still available before a larger run.

Where can I find the google/gemini-3.5-flash-lite price?

Open the live model marketplace. Static pages do not reproduce token, fixed, or expression-based billing rules.

Is google/gemini-3.5-flash-lite the cheapest or best model?

This page does not make that claim. Compare live Google and cross-provider prices, endpoint support, request success, and output quality for your workload.

Try TackleKey with one OpenAI-compatible change

Create an account, generate an API key, then replace your client base URL with the TackleKey endpoint. Keep keys server-side and verify live pricing before scaling traffic.