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Gemini 3.1 Pro PreviewvsClaude Opus 4.6

Across 18 shared benchmarks, Gemini 3.1 Pro Preview leads overall: Gemini 3.1 Pro Preview wins 11, Claude Opus 4.6 wins 6, with 1 ties and an average score difference of +2.37.

Google Deep Mind
Gemini 3.1 Pro Preview

Google Deep Mind · 2026-02-20 · Multimodal model

Anthropic
Claude Opus 4.6

Anthropic · 2026-02-05 · Reasoning model

Gemini 3.1 Pro Preview11 wins(61%)Ties1(33%)6 winsClaude Opus 4.6

Benchmark scores

Grouped by capability, sorted by largest gap within each. 18 shared benchmarks.

General Knowledge

Gemini 3.1 Pro Preview 4/6
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
ARC-AGI-277.108 / 61Thinking High (No Tools)66.3016 / 61Extended (no tools)+10.80
LiveBench79.933 / 115Thinking High (No Tools)76.338 / 115Thinking High (No Tools)+3.60
GPQA Diamond94.303 / 187Thinking High (No Tools)91.3115 / 187Extended (no tools)+2.99
HLE51.4020 / 170Thinking High (With Tools)5316 / 170Extended (with tools, internet)-1.60
MMLU92.603 / 66Thinking High (No Tools)91.057 / 66Extended (no tools)+1.55
ARC-AGI-305 / 8Thinking High (No Tools)03 / 8最高(无工具)

Agent Level Benchmark

Even 2/2
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
τ²-Bench90.802 / 43Thinking High (With Tools)91.891 / 43Extended (with tools)-1.09
τ²-Bench - Telecom99.301 / 35Thinking High (With Tools)99.252 / 35Extended (with tools)+0.05

AI Agent - Tool Usage

Gemini 3.1 Pro Preview 2/2
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
Terminal Bench 2.068.508 / 47Thinking High (With Tools)65.4011 / 47Extended (with tools)+3.10
MCP-Atlas78.209 / 27Thinking High (With Tools)76.8010 / 27Deep Thinking (With Tools)+1.40

Coding and Software Engineer

Even 2/2
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
LiveCodeBench91.703 / 123Thinking High (With Tools)7638 / 123Extended (no tools)+15.70
SWE-bench Verified80.6010 / 111Thinking High (With Tools)80.849 / 111Extended (with tools)-0.24

Math and Reasoning

Claude Opus 4.6 2/2
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
FrontierMath - Tier 416.7020 / 80Normal (No Tools)22.9012 / 80最高(无工具)-6.20
FrontierMath36.9011 / 60Thinking High (No Tools)40.707 / 60最高(无工具)-3.80

AI Agent - Information Search

Gemini 3.1 Pro Preview 1/1
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
BrowseComp85.904 / 52Thinking High (With Tools + Internet)8410 / 52Thinking (With Tools + Internet)+1.90

Claw-style Agent Evaluation

Claude Opus 4.6 1/1
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
Pinch Bench86.7010 / 37Thinking (With Tools)87.407 / 37Thinking (With Tools)-0.70

Commonsense Reasoning

Gemini 3.1 Pro Preview 1/1
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
Simple Bench79.602 / 63Normal (No Tools)67.608 / 63Normal (No Tools)+12

Multimodal Understanding

Gemini 3.1 Pro Preview 1/1
BenchmarkGemini 3.1 Pro PreviewClaude Opus 4.6Diff
MMMU80.5012 / 29Thinking High (No Tools)77.3016 / 29Extended (with tools)+3.20

Specs

FieldGemini 3.1 Pro PreviewClaude Opus 4.6
PublisherGoogle Deep MindAnthropic
Release date2026-02-202026-02-05
Model typeMultimodal modelReasoning model
ArchitectureDenseDense
ParametersNot availableNot available
Context length1M1000K
Max output64K64K

API pricing

Prices use DataLearner records when available; missing fields are not inferred.

ItemGemini 3.1 Pro PreviewClaude Opus 4.6
Text input$2 / 1M tokens$0.5 / 1M tokens
Text output$12 / 1M tokens$25 / 1M tokens
Cache readNot public$0.5 / 1M tokens
Cache writeNot public$10 / 1M tokens

Summary

  • Gemini 3.1 Pro Previewleads in:General Knowledge (4/6), AI Agent - Tool Usage (2/2), AI Agent - Information Search (1/1), Commonsense Reasoning (1/1), Multimodal Understanding (1/1)
  • Claude Opus 4.6leads in:Math and Reasoning (2/2), Claw-style Agent Evaluation (1/1)
  • Tied in:Agent Level Benchmark, Coding and Software Engineer

On average across the 18 shared benchmarks, Gemini 3.1 Pro Preview scores 2.37 higher.

Largest single-benchmark gap: LiveCodeBench — Gemini 3.1 Pro Preview 91.70 vs Claude Opus 4.6 76 (+15.70).

Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.