Model profile
Gemini 3.1 Flash-Lite
Evidence coverage
20 of 321 tracked benchmarks are published. 3 are verified and 17 provisional. 6 of 8 categories are measured.
- Published / tracked
- 20 / 321
- Verified
- 3
- Provisional
- 17
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic6 benchmarksMixed evidence
- Coding3 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksReported
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal2 benchmarksMixed evidence
- Inst. Following1 benchmarkReported
Gemini 3.1 Flash-Lite ranks #111 out of 200 models on the public leaderboard with an overall score of 50.83/100. It also ranks #61 out of 99 on the 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 20 of 321 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 Coding (#95). This performance profile makes it particularly well-suited for software development and code generation tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 50.82–51.25
- GLM-4.7-FlashZ.AICompare#10651.25GLM-4.7-Flash is #106 with a score of 51.25.
- Grok 4.1 FastxAICompare#10751.25Grok 4.1 Fast is #107 with a score of 51.25.
- GPT-4.1OpenAICompare#10851.11GPT-4.1 is #108 with a score of 51.11.
- Nemotron 3 Super 120B A12BNVIDIACompare#10950.97Nemotron 3 Super 120B A12B is #109 with a score of 50.97.
- Step 3.7 FlashStepFunCompare#11050.87Step 3.7 Flash is #110 with a score of 50.87.
- Gemini 3.1 Flash-LiteCurrent modelGoogle#11150.83Gemini 3.1 Flash-Lite is #111 with a score of 50.83.
- Llama 3 70BMetaCompare#11250.82Llama 3 70B is #112 with a score of 50.82.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Coding22%Eligible cohort rank #95 of 122Category score 44.2
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%6 benchmarksMixed sources | 49.6 | Not ranked | Not available | 22% | 6 benchmarks | Mixed sources |
| CodingRank #95 of 122Percentile 22ndWeight 20%3 benchmarksMixed sources | 44.2 | #95 of 122 | 22nd | 20% | 3 benchmarks | Mixed sources |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 70.8 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksReported | 34.5 | Not ranked | Not available | 12% | 6 benchmarks | Reported |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%2 benchmarksMixed sources | 47.9 | Not ranked | Not available | 12% | 2 benchmarks | Mixed sources |
| Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported | 79.0 | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1432 | Not available | Not available |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic6 benchmarks
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Gert Labs Composite Game Benchmark
Coding3 benchmarks
Vibe Code Bench v1.1
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Multimodal2 benchmarks
CharXiv Reasoning
Artificial Analysis MMMU-Pro
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Gemini 3.1 Flash-Lite perform overall in AI benchmarks?
Gemini 3.1 Flash-Lite has 20 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Gemini 3.1 Flash-Lite good for knowledge and understanding?
Gemini 3.1 Flash-Lite has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Gemini 3.1 Flash-Lite good for coding and programming?
Gemini 3.1 Flash-Lite ranks #95 out of 122 models in coding and programming benchmarks with an average score of 44.2. There are stronger options in this category.
Is Gemini 3.1 Flash-Lite good for reasoning and logic?
Gemini 3.1 Flash-Lite has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Gemini 3.1 Flash-Lite good for agentic tool use and computer tasks?
Gemini 3.1 Flash-Lite has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is Gemini 3.1 Flash-Lite good for multimodal and grounded tasks?
Gemini 3.1 Flash-Lite has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Gemini 3.1 Flash-Lite good for instruction following?
Gemini 3.1 Flash-Lite has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Does Gemini 3.1 Flash-Lite have full benchmark coverage on BenchLM?
Not yet. Gemini 3.1 Flash-Lite currently has 20 published benchmark scores out of the 321 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 published context window of 1M, which determines how much text it can process in a single interaction.
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