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Model comparison

Claude Sonnet 4.5 Thinking vs Gemini 3.1 Pro

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
55.3/100
0 category wins0 category wins

Public leaderboard positions: Claude Sonnet 4.5 Thinking unranked (Not scored); Gemini 3.1 Pro #83 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Sonnet 4.5 Thinking and Gemini 3.1 Pro share 2 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude Sonnet 4.5 Thinking; 45 to Gemini 3.1 Pro.

Updated July 23, 2026
Shared results
2
Claude Sonnet 4.5 Thinking only
0
Gemini 3.1 Pro only
45
Comparable categories
0 / 8

Benchmark data for Claude Sonnet 4.5 Thinking and Gemini 3.1 Pro is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Gemini 3.1 Pro has the larger context window at 1M, compared with 200K for Claude Sonnet 4.5 Thinking.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Claude Sonnet 4.5 Thinking and Gemini 3.1 Pro
CategoryClaude Sonnet 4.5 ThinkingΔGemini 3.1 Pro
ReasoningClaude Sonnet 4.5 ThinkingNot measuredMarginNo overlapGemini 3.1 Pro77.1
MathClaude Sonnet 4.5 ThinkingNot measuredMarginNo overlapGemini 3.1 Pro31.8
MultimodalClaude Sonnet 4.5 ThinkingNot measuredMarginNo overlapGemini 3.1 Pro82.6

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Sonnet 4.5 ThinkingGemini 3.1 ProComparison
Input / output priceUSD per 1M tokensClaude Sonnet 4.5 ThinkingNot availableGemini 3.1 Pro$2 input / $12 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Sonnet 4.5 ThinkingNot availableGemini 3.1 Pro109 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Sonnet 4.5 ThinkingNot availableGemini 3.1 Pro29.71 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Sonnet 4.5 Thinking200KGemini 3.1 Pro1MGemini 3.1 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Sonnet 4.5 ThinkingGemini 3.1 ProResult
Claw-EvalSource 57.8%Not comparable
DeepSearchQASource 69.7%Not comparable
τ²-bench resultsSource 95.6%Not comparable
AA Agentic IndexSource 21.4%Not comparable
APEX-Agents-AASource 32.0%Not comparable
GDPval-AASource 23.3%Not comparable
GDPval-AASource 965Not comparable
Gert LabsSource 56.87%Not comparable
ResearchClawBenchSource 13.3%Not comparable
AA AutomationBenchSource 37.5%Not comparable
AA EnterpriseOps-GymSource 42.2%Not comparable
AA Harvey LABSource 58.9%Not comparable
AA ITBenchSource 30.3%Not comparable
AA Tau3 BankingSource 16.5%Not comparable
terminalBenchHardSource 53.8%Not comparable
aaTerminalBench21Source 73.8%Not comparable
Coding
BenchmarkClaude Sonnet 4.5 ThinkingGemini 3.1 ProResult
Vibe Code BenchSource 22.62%32.03%Gemini 3.1 Pro leads
LiveCodeBench ProSource 82.9%Not comparable
React Native EvalsSource 78.9%Not comparable
AA Coding IndexSource 68.8%Not comparable
AA-SciCodeSource 58.9%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.5 ThinkingGemini 3.1 ProResult
ARC-AGI-2Source 77.1%Not comparable
AA-LCRSource 72.7%Not comparable
CritPtSource 17.7%Not comparable
Knowledge
BenchmarkClaude Sonnet 4.5 ThinkingGemini 3.1 ProResult
GPQA-DSource 94.3%Not comparable
HLE w/o toolsSource 45.4%Not comparable
HealthBench HardSource 20.6%Not comparable
MedXpertQA (Text)Source 71.5%Not comparable
Artificial Analysis Intelligence IndexSource 46.5%Not comparable
AA-GPQA DiamondSource 94.1%Not comparable
AA-HLESource 44.7%Not comparable
AA-Omniscience IndexSource 32.9%Not comparable
AA-Omniscience AccuracySource 55.3%Not comparable
AA-Omniscience Hallucination RateSource 49.9%Not comparable
Math
BenchmarkClaude Sonnet 4.5 ThinkingGemini 3.1 ProResult
FrontierMath v2 (Tiers 1-3)Source 36.900%Not comparable
FrontierMath v2 (Tier 4)Source 16.700%Not comparable
Multilingual
BenchmarkClaude Sonnet 4.5 ThinkingGemini 3.1 ProResult
AA Global-MMLU-LiteSource 93.2%Not comparable
Multimodal
BenchmarkClaude Sonnet 4.5 ThinkingGemini 3.1 ProResult
Design Arena WebsiteSource 12191281Gemini 3.1 Pro leads
MMMU-ProSource 83.9%Not comparable
CharXivSource 80.2%Not comparable
ERQASource 69.4%Not comparable
SimpleVQASource 72.4%Not comparable
ScreenSpot ProSource 84.4%Not comparable
ZeroBenchSource 29.0%Not comparable
MedXpertQA (MM)Source 81.3%Not comparable
AA-MMMU-ProSource 82.4%Not comparable
Inst. Following
BenchmarkClaude Sonnet 4.5 ThinkingGemini 3.1 ProResult
AA-IFBenchSource 77.1%Not comparable
Frequently Asked Questions (3)

Can I compare Claude Sonnet 4.5 Thinking and Gemini 3.1 Pro on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Claude Sonnet 4.5 Thinking and Gemini 3.1 Pro today?

Gemini 3.1 Pro: $2.00 input / $12.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 23, 2026

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