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Gemini 3.1 Pro

GoogleCurrentReleased Feb 19, 2026
Overall Score
93Prov. #4 of 110
Arena Elo
1492
Categories Ranked
8of 8
Price (1M tokens)
$1.25 in / $5 out
Speed
109tok/s
Context
1M
ProprietaryNon-Reasoning
Confidence
base

According to BenchLM.ai, Gemini 3.1 Pro ranks #4 out of 110 models on the provisional leaderboard with an overall score of 93/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. This places it among the top tier of AI models available in 2026, competing directly with the strongest models from leading AI labs.

Gemini 3.1 Pro 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 16 of 152 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 (#1), while its weakest is Mathematics (#35). 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

#6
86.7/ 100
Weight: 22%2 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#3
95.0/ 100
Weight: 20%1 benchmark
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#1
96.7/ 100
Weight: 17%1 benchmark
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#3
94.8/ 100
Weight: 12%4 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#35
70.8/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#3
100.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#10
90.4/ 100
Weight: 12%8 benchmarks
MMMU-ProOfficeQA Pro

Inst. Following

#10
92.5/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1492CI: ±4.922,905 votes
Coding1530CI: ±8.45,321 votes
Math1507CI: ±15.51,462 votes
Instruction Following1488CI: ±7.86,432 votes
Creative Writing1486CI: ±10.73,567 votes
Multi-turn1506CI: ±9.93,851 votes
Hard Prompts1515CI: ±6.212,968 votes
Hard Prompts (English)1512CI: ±8.06,124 votes
Longer Query1504CI: ±7.86,742 votes

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 Pro stacks up against similar models

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Claude Opus 4.7Anthropic
Prov. 97

Frequently Asked Questions

How does Gemini 3.1 Pro perform overall in AI benchmarks?

Gemini 3.1 Pro currently ranks #4 out of 110 models on BenchLM's provisional leaderboard with an overall score of 93. It is created by Google and features a 1M context window.

Is Gemini 3.1 Pro good for knowledge and understanding?

Gemini 3.1 Pro ranks #3 out of 110 models in knowledge and understanding benchmarks with an average score of 94.8. It is among the top performers in this category.

Is Gemini 3.1 Pro good for coding and programming?

Gemini 3.1 Pro ranks #3 out of 110 models in coding and programming benchmarks with an average score of 95. It is among the top performers in this category.

Is Gemini 3.1 Pro good for reasoning and logic?

Gemini 3.1 Pro ranks #1 out of 110 models in reasoning and logic benchmarks with an average score of 96.7. It is among the top performers in this category.

Is Gemini 3.1 Pro good for agentic tool use and computer tasks?

Gemini 3.1 Pro ranks #6 out of 110 models in agentic tool use and computer tasks benchmarks with an average score of 86.7. It is among the top performers in this category.

Is Gemini 3.1 Pro good for multimodal and grounded tasks?

Gemini 3.1 Pro ranks #10 out of 110 models in multimodal and grounded tasks benchmarks with an average score of 90.4. It is among the top performers in this category.

Does Gemini 3.1 Pro have full benchmark coverage on BenchLM?

Not yet. Gemini 3.1 Pro currently has 16 published benchmark scores out of the 152 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 Pro?

Gemini 3.1 Pro 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: April 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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