Googletext+image+file+audio+video->text

Google: Gemini 2.5 Flash Lite

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.

Context Window

1.0M

Input Price

$0.1000/M tokens

Output Price

$0.4000/M tokens

Modality

text+image+file+audio+video->text

Pricing Breakdown

Cost per million tokens for input and output

Input$0.1000/M tokens

Output$0.4000/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001400

Context Window Size

Maximum tokens the model can process in a single request

Context Window1.0M tokens

100% of 1M max

~786K

Words Equivalent

~524

Pages of Text

~10486

Code Functions

Best Use Cases

What this model excels at

MathReasoningAnalysisVisionImage-analysisMultimodalAudioSpeech

Related Categories:

Data Analysis Image Generation

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