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  4. Gemini 3.1 Flash Lite
Google
Released March 3, 2026

Gemini 3.1 Flash Lite

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

Visit GoogleAnnouncement
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 and low cost. 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 cost-effective 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, API cost, and throughput matter more than broad general-purpose depth.

Benchmark Performance

Independent evaluations · Artificial Analysis

25.6%
Intelligence
34.7%
Coding Index
6.5%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science82.2%
Humanity's Last Exam17.2%
SciCode - Scientific Coding41.9%
Instruction Following77.2%
Long Context Reasoning71.3%
τ²-Bench - Agentic Tasks31.3%
TerminalBench - System Control24.2%
Specs
Context window
1.0Mtokens
Input pricing
$0.25per 1M tokens
Output pricing
$1.50per 1M tokens
Cached input
$0.03per 1M tokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateMarch 3, 2026July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window
1.0M
Best Context Window
1M1M
Pricing (per 1M tokens)
Input Pricing
$0.25
Best Input Pricing
$5$10
Output Pricing
$1.50
Best Output Pricing
$25$50
Modalities
Inputs
textimagevideofileaudio
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index25.6
63.1
Best Intelligence Index
62.1
Coding Index34.7
78.0
Best Coding Index
76.5
Agentic Index6.5
59.2
Best Agentic Index
56.6
Gemini 3.1 Flash Lite
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

82%
Gemini 3.1 Flash Lite
GPQA Benchmark
Score: 82%
Gemini 3.1 Flash Lite
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 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
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

71%
Gemini 3.1 Flash Lite
Long Context Reasoning
Score: 71%
Gemini 3.1 Flash Lite
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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