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Gemini 3.1 Flash-Lite

GoogleCurrentReleased Mar 3, 2026
Overall Score
Est. 48Prov. #71 of 119
Arena Elo
1432
Categories Ranked
8of 8
Price (1M tokens)
$0.25 in / $1.5 out
Speed
205tok/s
Context
1M
ProprietaryNon-Reasoning
Confidence
base

According to BenchLM.ai, Gemini 3.1 Flash-Lite ranks #71 out of 119 models on the provisional leaderboard with an overall score of 48/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Gemini 3.1 Flash-Lite is a proprietary model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 21 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Reasoning (#38), while its weakest is Instruction Following (#86). This performance profile makes it particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.

Ranking Distribution

Category rank across 8 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#56
41.8/ 100
Weight: 22%6 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#71
26.5/ 100
Weight: 20%4 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#38
58.7/ 100
Weight: 17%2 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#74
35.6/ 100
Weight: 12%6 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#57
43.3/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#74
33.7/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#52
58.4/ 100
Weight: 12%2 benchmarks
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

#86
44.0/ 100
Weight: 5%1 benchmark
IFEvalIFBench

Chatbot Arena Performance

Text Overall1432

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Compare This Model

See how Gemini 3.1 Flash-Lite stacks up against similar models

Gemini 3.1 ProGoogle
Prov. 92
Gemini 3 Pro Deep ThinkGoogle
Prov. 90
Gemini 3.5 FlashGoogle
Prov. 87
Claude Mythos PreviewAnthropic
Prov. 99
Claude Opus 4.8Anthropic
Prov. 95

Frequently Asked Questions

How does Gemini 3.1 Flash-Lite perform overall in AI benchmarks?

Gemini 3.1 Flash-Lite currently ranks #71 out of 119 models on BenchLM's provisional leaderboard with an overall score of 48 (estimated). It is created by Google and features a 1M context window.

Is Gemini 3.1 Flash-Lite good for knowledge and understanding?

Gemini 3.1 Flash-Lite ranks #74 out of 119 models in knowledge and understanding benchmarks with an average score of 35.6. There are stronger options in this category.

Is Gemini 3.1 Flash-Lite good for coding and programming?

Gemini 3.1 Flash-Lite ranks #71 out of 119 models in coding and programming benchmarks with an average score of 26.5. There are stronger options in this category.

Is Gemini 3.1 Flash-Lite good for reasoning and logic?

Gemini 3.1 Flash-Lite ranks #38 out of 119 models in reasoning and logic benchmarks with an average score of 58.7. There are stronger options in this category.

Is Gemini 3.1 Flash-Lite good for agentic tool use and computer tasks?

Gemini 3.1 Flash-Lite ranks #56 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 41.8. There are stronger options in this category.

Is Gemini 3.1 Flash-Lite good for multimodal and grounded tasks?

Gemini 3.1 Flash-Lite ranks #52 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 58.4. There are stronger options in this category.

Is Gemini 3.1 Flash-Lite good for instruction following?

Gemini 3.1 Flash-Lite ranks #86 out of 119 models in instruction following benchmarks with an average score of 44. There are stronger options in this category.

Does Gemini 3.1 Flash-Lite have full benchmark coverage on BenchLM?

Not yet. Gemini 3.1 Flash-Lite currently has 21 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Gemini 3.1 Flash-Lite?

Gemini 3.1 Flash-Lite has a context window of 1M, which determines how much text it can process in a single interaction.

Related Resources

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Last updated: June 2, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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