LLM Reference
OpenRouter

Using Gemini 3.5 Flash-Lite on OpenRouter

Implementation guide · Gemini 3.5 · Google DeepMind

Serverless

OpenRouter exposes Gemini 3.5 Flash-Lite through model ID google/gemini-3.5-flash-lite. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-21. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call google/gemini-3.5-flash-lite — see the documentation for request format.
  3. 3
    You'll be billed $0.30/1M input, $2.50/1M output tokens. See full pricing.

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.30
Output tokens$2.50

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsCode ExecutionPrompt CachingBatch APIAudio

About Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is Google DeepMind's generally available multimodal model in the Gemini 3.5 family. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for code execution, prompt caching, and batch processing. Compare it for Coding, Agents, Long context, Vision, and JSON / Tool use. In Google AI Studio, select Gemini 3.5 Flash-Lite when lower token cost and high throughput are the priority; select Gemini 3.6 Flash when higher capability matters more.

Model Specs

Released2026-07-21
Context1.05m

Provider

OpenRouter
OpenRouter

OpenRouter, Inc.

New York, NY, USA