Google
Released June 17, 2025Cutoff January 2025

Gemini 2.5 Flash Lite

Gemini 2.5 Flash Lite by Google is a hybrid reasoning model with switchable thinking and a 1M-token context, optimized for high-volume, low-latency tasks.

Inputs
Text
Image
File
Audio
Video
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Gemini 2.5 Flash Lite - Hybrid Reasoning

Gemini 2.5 Flash Lite belongs to Google DeepMind's hybrid reasoning model family, meaning thinking can be switched on or off per request. It is explicitly optimized for high-volume, latency-sensitive tasks - the model card names translation and classification as its primary target use cases. Its architecture is sparse mixture-of-experts (MoE), activating only a subset of parameters per input token.

What Makes Flash Lite Distinct Within the Gemini 2.5 Family

TraitDetail
Switchable thinking (hybrid reasoning)Thinking can be turned on or off; configurable thinking budgets let developers trade latency for reasoning depth per request
Explicitly conciseness-optimizedThe model targets a 50% reduction in output tokens versus prior Flash-Lite versions - reduced verbosity is a stated design goal
Named target tasksModel card explicitly names translation and classification as the intended high-volume use cases - not general-purpose deployment
1M-token context windowAccepts text, images, audio, and video within a 1M-token input; 64K token output

Thinking Budget as a Control Mechanism

The thinking budget is a documented control available to developers: lower budgets reduce latency, higher budgets increase reasoning depth. The model card notes that adherence to thinking budgets is a documented behavior rather than a guarantee.

Benchmark Performance

Independent evaluations · Artificial Analysis

8.5%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science62.5%
Humanity's Last Exam6.8%
SciCode - Scientific Coding19.3%
Instruction Following49.9%
Long Context Reasoning55.7%
τ²-Bench - Agentic Tasks18.4%
TerminalBench - System Control4.5%

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Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateJune 17, 2025September 22, 2026September 28, 2026
Knowledge CutoffJan 2025-Jun 2026
Context & Limits
Context Window
1.0M
Best Context Window
1M1M
Pricing (per 1M tokens)
Input Pricing
$0.10
Best Input Pricing
$4$2
Output Pricing
$0.40
Best Output Pricing
$20$10
Modalities
Inputs
textimagefileaudiovideo
textimagefile
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index6.7
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Gemini 2.5 Flash Lite
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

4%
Gemini 2.5 Flash Lite
Humanity's Last Exam
Score: 4%
Gemini 2.5 Flash Lite
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

32%
Gemini 2.5 Flash Lite
Long Context Reasoning
Score: 32%
Gemini 2.5 Flash Lite
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

18%
Gemini 2.5 Flash Lite
SciCode Benchmark
Score: 18%
Gemini 2.5 Flash Lite
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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