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Model comparison

Claude Opus 4.5 Thinking vs Qwen3.5 397B

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.44/100
Margin
0.4pts
← winning
57.01/100
0 category wins0 category wins

Public leaderboard positions: Claude Opus 4.5 Thinking #69 (Estimated); Qwen3.5 397B #71 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.5 Thinking and Qwen3.5 397B share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Claude Opus 4.5 Thinking; 43 to Qwen3.5 397B.

Updated July 23, 2026
Shared results
12
Claude Opus 4.5 Thinking only
4
Qwen3.5 397B only
43
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.5 Thinking and Qwen3.5 397B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 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.

Claude Opus 4.5 Thinking has the larger context window at 200K, compared with 128K for Qwen3.5 397B.

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 4.5 Thinking and Qwen3.5 397B
CategoryClaude Opus 4.5 ThinkingΔQwen3.5 397B
AgenticClaude Opus 4.5 ThinkingNot measuredMarginNo overlapQwen3.5 397B56.5
CodingClaude Opus 4.5 ThinkingNot measuredMarginNo overlapQwen3.5 397B66.5
ReasoningClaude Opus 4.5 ThinkingNot measuredMarginNo overlapQwen3.5 397B63.2
KnowledgeClaude Opus 4.5 ThinkingNot measuredMarginNo overlapQwen3.5 397B56.6
MathClaude Opus 4.5 ThinkingNot measuredMarginNo overlapQwen3.5 397B90.6
MultilingualClaude Opus 4.5 ThinkingNot measuredMarginNo overlapQwen3.5 397B84.7
MultimodalClaude Opus 4.5 ThinkingNot measuredMarginNo overlapQwen3.5 397B79.6
Inst. FollowingClaude Opus 4.5 ThinkingNot measuredMarginNo overlapQwen3.5 397B92.6

Operational comparison

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

MetricClaude Opus 4.5 ThinkingQwen3.5 397BComparison
Input / output priceUSD per 1M tokensClaude Opus 4.5 ThinkingNot availableQwen3.5 397B$0.6 input / $3.6 outputA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.5 ThinkingNot availableQwen3.5 397B96 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.5 ThinkingNot availableQwen3.5 397B2.44 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.5 Thinking200KQwen3.5 397B128KClaude Opus 4.5 Thinking lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.5 ThinkingQwen3.5 397BResult
τ²-bench resultsSource 89.5%95.6%Qwen3.5 397B leads
Terminal-Bench 2.0Source 52.5%Not comparable
BrowseCompSource 62%Not comparable
Claw-EvalSource 56.8%Not comparable
QwenClawBenchSource 51.8%Not comparable
τ³-bench resultsSource 68.4%Not comparable
VITA-BenchSource 43.7%Not comparable
DeepPlanningSource 37.6%Not comparable
ToolathlonSource 36.3%Not comparable
MCP AtlasSource 46.1%Not comparable
MCP-TasksSource 74.2%Not comparable
WideResearchSource 74.0%Not comparable
Gert LabsSource 46.76%Not comparable
ResearchClawBenchSource 14.2%Not comparable
AA Agentic IndexSource 19.9%Not comparable
APEX-Agents-AASource 15.3%Not comparable
GDPval-AASource 23.1%Not comparable
GDPval-AASource 962Not comparable
Coding
BenchmarkClaude Opus 4.5 ThinkingQwen3.5 397BResult
Vibe Code BenchSource 20.63%Not comparable
AA-SciCodeSource 49.5%42.0%Claude Opus 4.5 Thinking leads
SWE-bench VerifiedSource 76.2%Not comparable
LiveCodeBench v6Source 83.6%Not comparable
SWE-bench ProSource 50.9%Not comparable
AA Coding IndexSource 48.2%Not comparable
Reasoning
BenchmarkClaude Opus 4.5 ThinkingQwen3.5 397BResult
AA-LCRSource 74.0%65.7%Claude Opus 4.5 Thinking leads
CritPtSource 4.6%1.7%Claude Opus 4.5 Thinking leads
LongBench v2Source 63.2%Not comparable
AI-NeedleSource 68.7%Not comparable
Knowledge
BenchmarkClaude Opus 4.5 ThinkingQwen3.5 397BResult
Artificial Analysis Intelligence IndexSource 40.8%33.7%Claude Opus 4.5 Thinking leads
AA-GPQA DiamondSource 86.6%89.3%Qwen3.5 397B leads
AA-HLESource 28.4%27.3%Claude Opus 4.5 Thinking leads
AA-Omniscience IndexSource 13.3%-29.8%Claude Opus 4.5 Thinking leads
AA-Omniscience AccuracySource 45.7%31.4%Claude Opus 4.5 Thinking leads
AA-Omniscience Hallucination RateSource 59.8%89.1%Claude Opus 4.5 Thinking leads
AA MMLU-ProSource 89.5%Not comparable
GPQASource 88.4%Not comparable
SuperGPQASource 70.4%Not comparable
MMLU-ProSource 87.8%Not comparable
MMLU-ReduxSource 94.9%Not comparable
C-EvalSource 93%Not comparable
HLESource 28.7%Not comparable
Math
BenchmarkClaude Opus 4.5 ThinkingQwen3.5 397BResult
AIME26Source 93.3%Not comparable
HMMT Feb 2025Source 94.8%Not comparable
HMMT Nov 2025Source 92.7%Not comparable
HMMT Feb 2026Source 87.9%Not comparable
MMAnswerBenchSource 80.9%Not comparable
Multilingual
BenchmarkClaude Opus 4.5 ThinkingQwen3.5 397BResult
AA Global-MMLU-LiteSource 91.3%Not comparable
MMLU-ProXSource 84.7%Not comparable
NOVA-63Source 59.1%Not comparable
Multimodal
BenchmarkClaude Opus 4.5 ThinkingQwen3.5 397BResult
AA-MMMU-ProSource 74.0%77.3%Qwen3.5 397B leads
Design Arena WebsiteSource 1277Not comparable
MMMU-ProSource 79%Not comparable
MathVisionSource 88.6%Not comparable
CharXivSource 80.8%Not comparable
VideoMMMUSource 84.7%Not comparable
ScreenSpot ProSource 65.6%Not comparable
V*Source 95.8%Not comparable
Inst. Following
BenchmarkClaude Opus 4.5 ThinkingQwen3.5 397BResult
AA-IFBenchSource 58.0%78.8%Qwen3.5 397B leads
IFEvalSource 92.6%Not comparable
Frequently Asked Questions (3)

Can I compare Claude Opus 4.5 Thinking and Qwen3.5 397B 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 4.5 Thinking and Qwen3.5 397B today?

Qwen3.5 397B: $0.60 input / $3.60 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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