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Model comparison

Claude Opus 4.6 (Adaptive) vs Gemini 3 Pro

Data verified

Head-to-head evidence from 14 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

64.18/100
Margin
3.5pts
winning →
67.73/100
0 category wins0 category wins

Public leaderboard positions: Claude Opus 4.6 (Adaptive) #35 (Estimated); Gemini 3 Pro #19 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 (Adaptive) and Gemini 3 Pro share 14 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Opus 4.6 (Adaptive); 13 to Gemini 3 Pro.

Updated July 23, 2026
Shared results
14
Claude Opus 4.6 (Adaptive) only
2
Gemini 3 Pro only
13
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.6 (Adaptive) and Gemini 3 Pro is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 7 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 Pro has the larger context window at 2M, compared with 1M for Claude Opus 4.6 (Adaptive).

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 Opus 4.6 (Adaptive) and Gemini 3 Pro
CategoryClaude Opus 4.6 (Adaptive)ΔGemini 3 Pro
ReasoningClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapGemini 3 Pro31.1
MathClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapGemini 3 Pro32.9
MultimodalClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapGemini 3 Pro81.1

Operational comparison

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

MetricClaude Opus 4.6 (Adaptive)Gemini 3 ProComparison
Input / output priceUSD per 1M tokensClaude Opus 4.6 (Adaptive)Not availableGemini 3 Pro$2 input / $12 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.6 (Adaptive)Not availableGemini 3 Pro109 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.6 (Adaptive)Not availableGemini 3 Pro32.65 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.6 (Adaptive)1MGemini 3 Pro2MGemini 3 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.6 (Adaptive)Gemini 3 ProResult
APEX-Agents-AASource 33.0%Not comparable
τ²-bench resultsSource 92.1%87.1%Claude Opus 4.6 (Adaptive) leads
Gert LabsSource 63.23%Not comparable
JobBenchSource 11.4%Not comparable
Coding
BenchmarkClaude Opus 4.6 (Adaptive)Gemini 3 ProResult
Vibe Code BenchSource 53.50%14.30%Claude Opus 4.6 (Adaptive) leads
AA-SciCodeSource 51.9%56.1%Gemini 3 Pro leads
AA LiveCodeBenchSource 91.7%Not comparable
Reasoning
BenchmarkClaude Opus 4.6 (Adaptive)Gemini 3 ProResult
AA-LCRSource 70.7%70.7%Tie
CritPtSource 12.6%9.1%Claude Opus 4.6 (Adaptive) leads
ARC-AGI-2Source 31.1%Not comparable
Knowledge
BenchmarkClaude Opus 4.6 (Adaptive)Gemini 3 ProResult
Artificial Analysis Intelligence IndexSource 43.7%39.5%Claude Opus 4.6 (Adaptive) leads
AA-GPQA DiamondSource 89.6%90.8%Gemini 3 Pro leads
AA-HLESource 36.7%37.2%Gemini 3 Pro leads
AA-Omniscience IndexSource 13.5%15.8%Gemini 3 Pro leads
AA-Omniscience AccuracySource 46.4%55.9%Gemini 3 Pro leads
AA-Omniscience Hallucination RateSource 61.3%90.9%Claude Opus 4.6 (Adaptive) leads
AA MMLU-ProSource 89.8%Not comparable
Math
BenchmarkClaude Opus 4.6 (Adaptive)Gemini 3 ProResult
FrontierMath v2 (Tiers 1-3)Source 37.600%Not comparable
FrontierMath v2 (Tier 4)Source 18.750%Not comparable
Multilingual
BenchmarkClaude Opus 4.6 (Adaptive)Gemini 3 ProResult
AA Global-MMLU-LiteSource 92.2%92.2%Tie
Multimodal
BenchmarkClaude Opus 4.6 (Adaptive)Gemini 3 ProResult
AA-MMMU-ProSource 75.4%80.2%Gemini 3 Pro leads
Design Arena WebsiteSource 1325Not comparable
MMMU-ProSource 81%Not comparable
MathVisionSource 86.6%Not comparable
VideoMMMUSource 87.6%Not comparable
ScreenSpot ProSource 72.7%Not comparable
CharXivSource 81.4%Not comparable
V*Source 88.0%Not comparable
Inst. Following
BenchmarkClaude Opus 4.6 (Adaptive)Gemini 3 ProResult
AA-IFBenchSource 53.1%70.4%Gemini 3 Pro leads
Frequently Asked Questions (3)

Can I compare Claude Opus 4.6 (Adaptive) and Gemini 3 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 Opus 4.6 (Adaptive) and Gemini 3 Pro today?

Gemini 3 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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