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Model comparison

Claude Opus 4.6 (Adaptive) vs Qwen3.7 Plus

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

64.18/100
Margin
3.0pts
winning →
67.22/100
0 category wins0 category wins

Public leaderboard positions: Claude Opus 4.6 (Adaptive) #35 (Estimated); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 (Adaptive) and Qwen3.7 Plus share 14 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Opus 4.6 (Adaptive); 55 to Qwen3.7 Plus.

Updated July 23, 2026
Shared results
14
Claude Opus 4.6 (Adaptive) only
2
Qwen3.7 Plus only
55
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.6 (Adaptive) and Qwen3.7 Plus is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 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.

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 Qwen3.7 Plus
CategoryClaude Opus 4.6 (Adaptive)ΔQwen3.7 Plus
AgenticClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapQwen3.7 Plus71.7
CodingClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapQwen3.7 Plus75.6
ReasoningClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapQwen3.7 Plus91.7
KnowledgeClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapQwen3.7 Plus60.1
MathClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapQwen3.7 Plus92.9
MultilingualClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapQwen3.7 Plus85.4
MultimodalClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapQwen3.7 Plus81.5
Inst. FollowingClaude Opus 4.6 (Adaptive)Not measuredMarginNo overlapQwen3.7 Plus84.5

Operational comparison

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

MetricClaude Opus 4.6 (Adaptive)Qwen3.7 PlusComparison
Input / output priceUSD per 1M tokensClaude Opus 4.6 (Adaptive)Not availableQwen3.7 PlusNot availableA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.6 (Adaptive)Not availableQwen3.7 PlusNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.6 (Adaptive)Not availableQwen3.7 PlusNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.6 (Adaptive)1MQwen3.7 Plus1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.6 (Adaptive)Qwen3.7 PlusResult
APEX-Agents-AASource 33.0%22.4%Claude Opus 4.6 (Adaptive) leads
τ²-bench resultsSource 92.1%93%Qwen3.7 Plus leads
Terminal-Bench 2.0Source —70.3%Not comparable
QwenClawBenchSource —61.8%Not comparable
QwenWebBenchSource —1536Not comparable
Claw-EvalSource —62.7%Not comparable
BFCL v4Source —72.9%Not comparable
MCP AtlasSource —73.2%Not comparable
VITA-BenchSource —45.6%Not comparable
DeepPlanningSource —62.3%Not comparable
OSWorld-VerifiedSource —73.3%Not comparable
AndroidWorldSource —81.0%Not comparable
AA Agentic IndexSource —20.8%Not comparable
GDPval-AASource —21.8%Not comparable
GDPval-AASource —936Not comparable
OSWorld 2.0Source —2.8%Not comparable
Coding
BenchmarkClaude Opus 4.6 (Adaptive)Qwen3.7 PlusResult
Vibe Code BenchSource 53.50%—Not comparable
AA-SciCodeSource 51.9%45.5%Claude Opus 4.6 (Adaptive) leads
Terminal-Bench 2.0Source —70.3%Not comparable
SWE-bench VerifiedSource —77.7%Not comparable
SWE-bench ProSource —57.6%Not comparable
SWE MultilingualSource —75.8%Not comparable
NL2RepoSource —41.1%Not comparable
SciCodeSource —51.3%Not comparable
LiveCodeBenchSource —89.6%Not comparable
AA Coding IndexSource —55.9%Not comparable
Reasoning
BenchmarkClaude Opus 4.6 (Adaptive)Qwen3.7 PlusResult
AA-LCRSource 70.7%65.0%Claude Opus 4.6 (Adaptive) leads
CritPtSource 12.6%9.1%Claude Opus 4.6 (Adaptive) leads
MRCRv2Source —91.7%Not comparable
Knowledge
BenchmarkClaude Opus 4.6 (Adaptive)Qwen3.7 PlusResult
Artificial Analysis Intelligence IndexSource 43.7%39.0%Claude Opus 4.6 (Adaptive) leads
AA-GPQA DiamondSource 89.6%90.0%Qwen3.7 Plus leads
AA-HLESource 36.7%33.4%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience IndexSource 13.5%2.4%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience AccuracySource 46.4%22.2%Claude Opus 4.6 (Adaptive) leads
AA-Omniscience Hallucination RateSource 61.3%25.5%Qwen3.7 Plus leads
GPQASource —90.3%Not comparable
GPQA-DSource —90.3%Not comparable
HLESource —34.7%Not comparable
MMLU-ProSource —88.5%Not comparable
MMLU-ReduxSource —94.5%Not comparable
SuperGPQASource —71.4%Not comparable
MMMLUSource —89.0%Not comparable
Math
BenchmarkClaude Opus 4.6 (Adaptive)Qwen3.7 PlusResult
HMMT Feb 2026Source —92.9%Not comparable
IMOAnswerBenchSource —86.0%Not comparable
ApexSource —22.7%Not comparable
Multilingual
BenchmarkClaude Opus 4.6 (Adaptive)Qwen3.7 PlusResult
AA Global-MMLU-LiteSource 92.2%—Not comparable
MMLU-ProXSource —85.4%Not comparable
NOVA-63Source —58.8%Not comparable
INCLUDESource —83.0%Not comparable
MAXIFESource —88.8%Not comparable
PolyMathSource —84.0%Not comparable
Multimodal
BenchmarkClaude Opus 4.6 (Adaptive)Qwen3.7 PlusResult
AA-MMMU-ProSource 75.4%80.5%Qwen3.7 Plus leads
Design Arena WebsiteSource 13251288Claude Opus 4.6 (Adaptive) leads
MMMU-ProSource —79%Not comparable
MathVisionSource —90.3%Not comparable
CharXivSource —85.9%Not comparable
ERQASource —69.8%Not comparable
MedXpertQA (MM)Source —71.0%Not comparable
ScreenSpot ProSource —79.0%Not comparable
SimpleVQASource —81.7%Not comparable
MMSearch-PlusSource —41.4%Not comparable
RealWorldQASource —86.9%Not comparable
OmniDocBench 1.5Source —91.4%Not comparable
OCRBench V2Source —70.7%Not comparable
ODINW13Source —51.1%Not comparable
Video-MME (with subtitle)Source —88.0%Not comparable
VideoMMMUSource —85.4%Not comparable
MLVU (M-Avg)Source —87.4%Not comparable
Inst. Following
BenchmarkClaude Opus 4.6 (Adaptive)Qwen3.7 PlusResult
AA-IFBenchSource 53.1%78.0%Qwen3.7 Plus leads
IFEvalSource —94.6%Not comparable
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (2)

Can I compare Claude Opus 4.6 (Adaptive) and Qwen3.7 Plus 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.

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