Google
Released March 3, 2026

Gemini 3.1 Flash Lite

Google Gemini 3.1 Flash Lite is a Google multimodal model built for high-volume, low-latency tasks, structured outputs, thinking, and model routing.

Inputs
Text
Image
Video
File
Audio
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Gemini 3.1 Flash Lite - high-volume multimodal model

Gemini 3.1 Flash Lite is built for high-frequency tasks that need low latency. It is framed as a lightweight model for scale, with controls for thinking and structured task handling.

Distinctive traitWhat is documented
High-volume focusOptimized for high-frequency, lightweight tasks and high-volume traffic.
Multimodal inputsSupports text, image, video, audio, and PDF inputs.
Thinking controlSupports thinking, with selectable thinking levels in AI Studio and Vertex AI.
Task routing useDocumented for model routing, where it can classify task complexity.

Scale pattern

The model is described as a lightweight option for straightforward work at scale. Documented uses include translation, transcription, data extraction, document processing, and routing tasks.

Supported workflow

Its API documentation also lists function calling, structured outputs, code execution, file search, search grounding, URL context, and Google Maps grounding. The model is presented as a practical choice when speed and throughput matter more than broad general-purpose depth.

Benchmark Performance

Independent evaluations · Artificial Analysis

15.6%
Intelligence
34.7%
Coding Index
1.6%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science82.2%
Humanity's Last Exam17.2%
SciCode - Scientific Coding43.4%
Instruction Following77.2%
Long Context Reasoning74.3%
τ²-Bench - Agentic Tasks31.3%
TerminalBench - System Control24.2%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateMarch 3, 2026September 22, 2026September 28, 2026
Knowledge Cutoff--Jun 2026
Context & Limits
Context Window
1.0M
Best Context Window
1M1M
Pricing (per 1M tokens)
Input Pricing
$0.25
Best Input Pricing
$4$2
Output Pricing
$1.50
Best Output Pricing
$20$10
Modalities
Inputs
textimagevideofileaudio
textimagefile
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index15.6
57.6
Best Intelligence Index
56.0
Coding Index34.7--
Agentic Index1.6--
Gemini 3.1 Flash Lite
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

17%
Gemini 3.1 Flash Lite
Humanity's Last Exam
Score: 17%
Gemini 3.1 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.

74%
Gemini 3.1 Flash Lite
Long Context Reasoning
Score: 74%
Gemini 3.1 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.

43%
Gemini 3.1 Flash Lite
SciCode Benchmark
Score: 43%
Gemini 3.1 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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