Benchable
Image input
Text input
File input
Text output
Description
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, "thinking" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence.
Key Specifications
Context Length
1M
Parameters
Unknown
Created
Jun 17, 2025
Supported Parameters
This model supports the following parameters:
Top P
Structured Outputs
Temperature
Stop
Tools
Tool Choice
Response Format
Max Tokens
Features
This model supports the following features:
Structured Outputs
Response Format
Tools
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.1 |
| Completion | $0.4 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Google
|
Google | google/gemini-2.5-flash-lite-preview-06-17 | 1M | $0.1 / 1M tokens | $0.4 / 1M tokens |
|
Google AI Studio
|
Google AI Studio | google/gemini-2.5-flash-lite-preview-06-17 | 1M | $0.1 / 1M tokens | $0.4 / 1M tokens |
Benchmark Performance Summary
| Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
|---|