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Model comparison

Claude Opus 4.7 (Adaptive) vs Gemini 3 Pro

Data verified

Head-to-head evidence from 15 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

66.27/100
Margin
1.5pts
winning →
67.73/100
1 category wins1 category wins

Public leaderboard positions: Claude Opus 4.7 (Adaptive) #27 (Estimated); Gemini 3 Pro #19 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.7 (Adaptive) and Gemini 3 Pro share 15 comparable benchmark results. 2 of 8 categories are comparable. 23 results are unique to Claude Opus 4.7 (Adaptive); 12 to Gemini 3 Pro.

Updated July 23, 2026
Shared results
15
Claude Opus 4.7 (Adaptive) only
23
Gemini 3 Pro only
12
Comparable categories
2 / 8

Pick Gemini 3 Pro if you want the stronger benchmark profile. Claude Opus 4.7 (Adaptive) only becomes the better choice if reasoning is the priority or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemini 3 Pro has the cleaner BenchAlign overall profile here, landing at 67.73 versus 66.27. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 81.1 against 65.1. The single biggest benchmark swing on the page is ARC-AGI-2, 75.8% to 31.1%. Claude Opus 4.7 (Adaptive) does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.

Claude Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3 Pro. That is roughly 2.1x on output cost alone. Claude Opus 4.7 (Adaptive) is the reasoning model in the pair, while Gemini 3 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Pro gives you the larger context window at 2M, compared with 1M for Claude Opus 4.7 (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 4.7 (Adaptive) and Gemini 3 Pro
CategoryClaude Opus 4.7 (Adaptive)ΔGemini 3 Pro
ReasoningClaude Opus 4.7 (Adaptive)75.8Margin← 44.7Gemini 3 Pro31.1
MultimodalClaude Opus 4.7 (Adaptive)65.1Margin→ 16.0Gemini 3 Pro81.1
AgenticClaude Opus 4.7 (Adaptive)75.1MarginNo overlapGemini 3 ProNot measured
CodingClaude Opus 4.7 (Adaptive)78.6MarginNo overlapGemini 3 ProNot measured
KnowledgeClaude Opus 4.7 (Adaptive)60.0MarginNo overlapGemini 3 ProNot measured
MathClaude Opus 4.7 (Adaptive)Not measuredMarginNo overlapGemini 3 Pro32.9

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Opus 4.7 (Adaptive)B · Gemini 3 Pro

  1. ARC-AGI-2

    Reasoning
    Source ↗
    A 75.8%B 31.1%
    Winner: Claude Opus 4.7 (Adaptive)Δ 44.7
    ARC-AGI-2: Claude Opus 4.7 (Adaptive) scored 75.8%; Gemini 3 Pro scored 31.1%. Claude Opus 4.7 (Adaptive) wins this benchmark.

  2. CharXiv

    Multimodal
    Source ↗
    A 91%B 81.4%
    Winner: Claude Opus 4.7 (Adaptive)Δ 9.6
    CharXiv: Claude Opus 4.7 (Adaptive) scored 91%; Gemini 3 Pro scored 81.4%. Claude Opus 4.7 (Adaptive) wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.7 (Adaptive)Gemini 3 ProComparison
Input / output priceUSD per 1M tokensClaude Opus 4.7 (Adaptive)$5 input / $25 outputGemini 3 Pro$2 input / $12 outputGemini 3 Pro has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.7 (Adaptive)Not availableGemini 3 Pro109 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.7 (Adaptive)Not availableGemini 3 Pro32.65 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.7 (Adaptive)1MGemini 3 Pro2MGemini 3 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.7 (Adaptive)Gemini 3 ProResult
Terminal-Bench 2.0Source 69.4%—Not comparable
BrowseCompSource 79.3%—Not comparable
MCP AtlasSource 77.3%—Not comparable
OSWorld-VerifiedSource 78%—Not comparable
CyberGymSource 73.1%—Not comparable
AA Agentic IndexSource 44.4%—Not comparable
τ²-bench resultsSource 88.6%87.1%Claude Opus 4.7 (Adaptive) leads
GDPval-AASource 49.8%—Not comparable
GDPval-AASource 1495—Not comparable
OSWorld 2.0Source 18.2%—Not comparable
JobBenchSource 45.9%11.4%Claude Opus 4.7 (Adaptive) leads
AA ITBenchSource 46.7%—Not comparable
Gert LabsSource —63.23%Not comparable
Coding
BenchmarkClaude Opus 4.7 (Adaptive)Gemini 3 ProResult
SWE-bench VerifiedSource 87.6%—Not comparable
SWE-bench ProSource 64.3%—Not comparable
Terminal-Bench 2.0Source 69.4%—Not comparable
AA Coding IndexSource 73.6%—Not comparable
AA-SciCodeSource 54.5%56.1%Gemini 3 Pro leads
Vibe Code BenchSource —14.30%Not comparable
AA LiveCodeBenchSource —91.7%Not comparable
ReasoningClaude Opus 4.7 (Adaptive) wins
BenchmarkClaude Opus 4.7 (Adaptive)Gemini 3 ProResult
MRCR v2 128K-256KSource 59.2%—Not comparable
ARC-AGI-2Source 75.8%31.1%Claude Opus 4.7 (Adaptive) leads
AA-LCRSource 70.3%70.7%Gemini 3 Pro leads
CritPtSource 12.0%9.1%Claude Opus 4.7 (Adaptive) leads
Knowledge
BenchmarkClaude Opus 4.7 (Adaptive)Gemini 3 ProResult
GPQASource 94.2%—Not comparable
GPQA-DSource 94.2%—Not comparable
HLESource 54.7%—Not comparable
HLE w/o toolsSource 46.9%—Not comparable
Artificial Analysis Intelligence IndexSource 53.5%39.5%Claude Opus 4.7 (Adaptive) leads
AA-GPQA DiamondSource 91.4%90.8%Claude Opus 4.7 (Adaptive) leads
AA-HLESource 39.6%37.2%Claude Opus 4.7 (Adaptive) leads
AA-Omniscience IndexSource 26.2%15.8%Claude Opus 4.7 (Adaptive) leads
AA-Omniscience AccuracySource 45.8%55.9%Gemini 3 Pro leads
AA-Omniscience Hallucination RateSource 36.2%90.9%Claude Opus 4.7 (Adaptive) leads
AA MMLU-ProSource —89.8%Not comparable
Math
BenchmarkClaude Opus 4.7 (Adaptive)Gemini 3 ProResult
FrontierMath (legacy)Source 43.8%—Not comparable
FrontierMath v2 (Tiers 1-3)Source —37.600%Not comparable
FrontierMath v2 (Tier 4)Source —18.750%Not comparable
Multilingual
BenchmarkClaude Opus 4.7 (Adaptive)Gemini 3 ProResult
AA Global-MMLU-LiteSource —92.2%Not comparable
MultimodalGemini 3 Pro wins
BenchmarkClaude Opus 4.7 (Adaptive)Gemini 3 ProResult
OfficeQA ProSource 43.6%—Not comparable
CharXivSource 91%81.4%Claude Opus 4.7 (Adaptive) leads
CharXiv w/o toolsSource 82.1%—Not comparable
AA-MMMU-ProSource 78.8%80.2%Gemini 3 Pro leads
Design Arena WebsiteSource 1325—Not comparable
MMMU-ProSource —81%Not comparable
MathVisionSource —86.6%Not comparable
VideoMMMUSource —87.6%Not comparable
ScreenSpot ProSource —72.7%Not comparable
V*Source —88.0%Not comparable
Inst. Following
BenchmarkClaude Opus 4.7 (Adaptive)Gemini 3 ProResult
AA-IFBenchSource 58.6%70.4%Gemini 3 Pro leads
Frequently Asked Questions (3)

Which is better, Claude Opus 4.7 (Adaptive) or Gemini 3 Pro?

Gemini 3 Pro is ahead on BenchLM's BenchAlign leaderboard, 67.73 to 66.27. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 75.8% and 31.1%.

Which is better for reasoning, Claude Opus 4.7 (Adaptive) or Gemini 3 Pro?

Claude Opus 4.7 (Adaptive) has the edge for reasoning in this comparison, averaging 75.8 versus 31.1. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Claude Opus 4.7 (Adaptive) or Gemini 3 Pro?

Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 65.1. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

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