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Model comparison

GPT-5.5 vs Qwen3.7 Max

Data verified

Head-to-head evidence from 32 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

GPT-5.5
OpenAI
73.51/100
Margin
0.7pts
← winning
72.84/100
1 category wins4 category wins

Public leaderboard positions: GPT-5.5 #9 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.5 and Qwen3.7 Max share 32 comparable benchmark results. 5 of 8 categories are comparable. 25 results are unique to GPT-5.5; 26 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
32
GPT-5.5 only
25
Qwen3.7 Max only
26
Comparable categories
5 / 8

Pick GPT-5.5 if you want the stronger benchmark profile. Qwen3.7 Max only becomes the better choice if mathematics is the priority.

Confidence note. This is a partial-evidence comparison with 32 shared benchmark results across 6 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.5 has the cleaner BenchAlign overall profile here, landing at 73.51 versus 72.84. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

GPT-5.5's sharpest advantage is in agentic, where it averages 81.6 against 69.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 82% to 69.7%. Qwen3.7 Max does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.

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 GPT-5.5 and Qwen3.7 Max
CategoryGPT-5.5ΔQwen3.7 Max
MathGPT-5.547.6Margin→ 49.5Qwen3.7 Max97.1
CodingGPT-5.558.6Margin→ 19.3Qwen3.7 Max77.9
AgenticGPT-5.581.6Margin← 11.9Qwen3.7 Max69.7
KnowledgeGPT-5.557.8Margin→ 6.4Qwen3.7 Max64.2
ReasoningGPT-5.585.0Margin→ 5.4Qwen3.7 Max90.4
MultilingualGPT-5.5Not measuredMarginNo overlapQwen3.7 Max87.0
MultimodalGPT-5.570.4MarginNo overlapQwen3.7 MaxNot measured
Inst. FollowingGPT-5.5Not measuredMarginNo overlapQwen3.7 Max84.4

Decisive benchmark drivers

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

More
A · GPT-5.5B · Qwen3.7 Max

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 82%B 69.7%
    Winner: GPT-5.5Δ 12.3
    Terminal-Bench 2.0: GPT-5.5 scored 82%; Qwen3.7 Max scored 69.7%. GPT-5.5 wins this benchmark.

  2. HLE

    Knowledge
    Source ↗
    A 52.2%B 41.4%
    Winner: GPT-5.5Δ 10.8
    HLE: GPT-5.5 scored 52.2%; Qwen3.7 Max scored 41.4%. GPT-5.5 wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 58.6%B 60.6%
    Winner: Qwen3.7 MaxΔ 2
    SWE-bench Pro: GPT-5.5 scored 58.6%; Qwen3.7 Max scored 60.6%. Qwen3.7 Max wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 93.6%B 92.4%
    Winner: GPT-5.5Δ 1.2
    GPQA: GPT-5.5 scored 93.6%; Qwen3.7 Max scored 92.4%. GPT-5.5 wins this benchmark.

Operational comparison

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

MetricGPT-5.5Qwen3.7 MaxComparison
Input / output priceUSD per 1M tokensGPT-5.5$5 input / $30 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.5Not availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.5Not availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.51MQwen3.7 Max1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.5 wins
BenchmarkGPT-5.5Qwen3.7 MaxResult
Terminal-Bench 2.0Source 82%69.7%GPT-5.5 leads
CyberGymSource 81.8%—Not comparable
BrowseCompSource 84.4%—Not comparable
OSWorld-VerifiedSource 78.7%—Not comparable
MCP AtlasSource 75.3%76.4%Qwen3.7 Max leads
ToolathlonSource 55.6%—Not comparable
τ²-bench resultsSource 93.9%94.7%Qwen3.7 Max leads
AA Agentic IndexSource 44.9%30.6%GPT-5.5 leads
APEX-Agents-AASource 37.7%—Not comparable
GDPval-AASource 49.5%38.7%GPT-5.5 leads
GDPval-AASource 14901273GPT-5.5 leads
Gert LabsSource 72.93%64.27%GPT-5.5 leads
ResearchClawBenchSource 17.0%18.7%Qwen3.7 Max leads
OSWorld 2.0Source 13.0%—Not comparable
JobBenchSource 42.7%—Not comparable
ExploitGymSource 13.4%—Not comparable
AA BriefcaseSource 1154908GPT-5.5 leads
AA AutomationBenchSource 42.1%25.6%GPT-5.5 leads
AA EnterpriseOps-GymSource 46.6%45.0%GPT-5.5 leads
AA Harvey LABSource 86.3%83.4%GPT-5.5 leads
AA ITBenchSource 45.8%42.5%GPT-5.5 leads
AA Tau3 BankingSource 31.3%—Not comparable
terminalBenchHardSource 60.6%50.8%GPT-5.5 leads
aaTerminalBench21Source 84.3%74.5%GPT-5.5 leads
QwenClawBenchSource —64.3%Not comparable
QwenWebBenchSource —1568Not comparable
Claw-EvalSource —65.2%Not comparable
BFCL v4Source —75.0%Not comparable
VITA-BenchSource —47.9%Not comparable
HLE w/ toolsSource —53.5%Not comparable
CodingQwen3.7 Max wins
BenchmarkGPT-5.5Qwen3.7 MaxResult
SWE-bench ProSource 58.6%60.6%Qwen3.7 Max leads
Terminal-Bench 2.0Source 82.0%69.7%GPT-5.5 leads
Vibe Code BenchSource 69.85%—Not comparable
React Native EvalsSource 84.7%—Not comparable
cursorBench31Source 59.2%—Not comparable
cursorBench32Source 58.4%—Not comparable
AA Coding IndexSource 74.9%66.0%GPT-5.5 leads
AA-SciCodeSource 56.1%48.8%GPT-5.5 leads
FrontierCode 1.1 MainSource 43.0%—Not comparable
SWE-bench VerifiedSource —80.4%Not comparable
SWE MultilingualSource —78.3%Not comparable
NL2RepoSource —47.2%Not comparable
SciCodeSource —53.5%Not comparable
LiveCodeBenchSource —91.6%Not comparable
ReasoningQwen3.7 Max wins
BenchmarkGPT-5.5Qwen3.7 MaxResult
MRCR v2 64K-128KSource 83.1%—Not comparable
MRCR v2 128K-256KSource 87.5%—Not comparable
ARC-AGI-2Source 85%—Not comparable
AA-LCRSource 74.3%69.0%GPT-5.5 leads
CritPtSource 27.1%13.4%GPT-5.5 leads
MRCRv2Source —90.4%Not comparable
KnowledgeQwen3.7 Max wins
BenchmarkGPT-5.5Qwen3.7 MaxResult
GPQASource 93.6%92.4%GPT-5.5 leads
GPQA-DSource 93.6%92.4%GPT-5.5 leads
HLESource 52.2%41.4%GPT-5.5 leads
HLE w/o toolsSource 41.4%—Not comparable
Artificial Analysis Intelligence IndexSource 54.8%46.0%GPT-5.5 leads
AA-GPQA DiamondSource 93.5%92.3%GPT-5.5 leads
AA-HLESource 44.3%38.1%GPT-5.5 leads
AA-Omniscience IndexSource 20.1%14.1%GPT-5.5 leads
AA-Omniscience AccuracySource 56.9%30.1%GPT-5.5 leads
AA-Omniscience Hallucination RateSource 85.5%22.9%Qwen3.7 Max leads
MMLU-ProSource —89.6%Not comparable
MMLU-ReduxSource —95%Not comparable
SuperGPQASource —73.6%Not comparable
MMMLUSource —90.3%Not comparable
MathQwen3.7 Max wins
BenchmarkGPT-5.5Qwen3.7 MaxResult
FrontierMath (legacy)Source 51.7%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.700%—Not comparable
FrontierMath v2 (Tier 4)Source 35.400%—Not comparable
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkGPT-5.5Qwen3.7 MaxResult
MMLU-ProXSource —87%Not comparable
NOVA-63Source —59.0%Not comparable
INCLUDESource —86.2%Not comparable
MAXIFESource —89.2%Not comparable
PolyMathSource —86.5%Not comparable
Multimodal
BenchmarkGPT-5.5Qwen3.7 MaxResult
MMMU-ProSource 81.2%—Not comparable
MMMU-Pro w/ PythonSource 83.2%—Not comparable
OfficeQA ProSource 54.1%—Not comparable
AA-MMMU-ProSource 79.9%—Not comparable
Design Arena WebsiteSource 12821293Qwen3.7 Max leads
Inst. Following
BenchmarkGPT-5.5Qwen3.7 MaxResult
AA-IFBenchSource 75.9%80.5%Qwen3.7 Max leads
IFEvalSource —94.3%Not comparable
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (6)

Which is better, GPT-5.5 or Qwen3.7 Max?

GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 72.84. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 82% and 69.7%.

Which is better for knowledge tasks, GPT-5.5 or Qwen3.7 Max?

Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.2 versus 57.8. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.5 or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 58.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.5 or Qwen3.7 Max?

Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 47.6. GPT-5.5 stays close enough that the answer can still flip depending on your workload.

Which is better for reasoning, GPT-5.5 or Qwen3.7 Max?

Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 85. Inside this category, CritPt is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.5 or Qwen3.7 Max?

GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.6 versus 69.7. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.

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