Skip to main content
BenchLM
Advertise

Model comparison

GPT-5.5 vs Qwen3.7 Plus

Data verified

Head-to-head evidence from 28 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
6.3pts
← winning
67.22/100
1 category wins5 category wins

Public leaderboard positions: GPT-5.5 #9 (Estimated); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.5 and Qwen3.7 Plus share 28 comparable benchmark results. 6 of 8 categories are comparable. 29 results are unique to GPT-5.5; 41 to Qwen3.7 Plus.

Updated July 23, 2026
Shared results
28
GPT-5.5 only
29
Qwen3.7 Plus only
41
Comparable categories
6 / 8

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

Confidence note. This is a partial-evidence comparison with 28 shared benchmark results across 6 evidence categories; 6 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 is clearly ahead on the BenchAlign aggregate, 73.51 to 67.22. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.5's sharpest advantage is in agentic, where it averages 81.6 against 71.7. The single biggest benchmark swing on the page is HLE, 52.2% to 34.7%. Qwen3.7 Plus 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 Plus
CategoryGPT-5.5ΔQwen3.7 Plus
MathGPT-5.547.6Margin→ 45.3Qwen3.7 Plus92.9
CodingGPT-5.558.6Margin→ 17.0Qwen3.7 Plus75.6
MultimodalGPT-5.570.4Margin→ 11.1Qwen3.7 Plus81.5
AgenticGPT-5.581.6Margin← 9.9Qwen3.7 Plus71.7
ReasoningGPT-5.585.0Margin→ 6.7Qwen3.7 Plus91.7
KnowledgeGPT-5.557.8Margin→ 2.3Qwen3.7 Plus60.1
MultilingualGPT-5.5Not measuredMarginNo overlapQwen3.7 Plus85.4
Inst. FollowingGPT-5.5Not measuredMarginNo overlapQwen3.7 Plus84.5

Decisive benchmark drivers

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

More
A · GPT-5.5B · Qwen3.7 Plus

  1. HLE

    Knowledge
    Source ↗
    A 52.2%B 34.7%
    Winner: GPT-5.5Δ 17.5
    HLE: GPT-5.5 scored 52.2%; Qwen3.7 Plus scored 34.7%. GPT-5.5 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 82%B 70.3%
    Winner: GPT-5.5Δ 11.7
    Terminal-Bench 2.0: GPT-5.5 scored 82%; Qwen3.7 Plus scored 70.3%. GPT-5.5 wins this benchmark.

  3. OSWorld-Verified

    Agentic
    Source ↗
    A 78.7%B 73.3%
    Winner: GPT-5.5Δ 5.4
    OSWorld-Verified: GPT-5.5 scored 78.7%; Qwen3.7 Plus scored 73.3%. GPT-5.5 wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 93.6%B 90.3%
    Winner: GPT-5.5Δ 3.3
    GPQA: GPT-5.5 scored 93.6%; Qwen3.7 Plus scored 90.3%. GPT-5.5 wins this benchmark.

  5. MMMU-Pro

    Multimodal
    Source ↗
    A 81.2%B 79%
    Winner: GPT-5.5Δ 2.2
    MMMU-Pro: GPT-5.5 scored 81.2%; Qwen3.7 Plus scored 79%. 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 PlusComparison
Input / output priceUSD per 1M tokensGPT-5.5$5 input / $30 outputQwen3.7 PlusNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.5Not availableQwen3.7 PlusNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.5Not availableQwen3.7 PlusNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.51MQwen3.7 Plus1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.5 wins
BenchmarkGPT-5.5Qwen3.7 PlusResult
Terminal-Bench 2.0Source 82%70.3%GPT-5.5 leads
CyberGymSource 81.8%—Not comparable
BrowseCompSource 84.4%—Not comparable
OSWorld-VerifiedSource 78.7%73.3%GPT-5.5 leads
MCP AtlasSource 75.3%73.2%GPT-5.5 leads
ToolathlonSource 55.6%—Not comparable
τ²-bench resultsSource 93.9%93%GPT-5.5 leads
AA Agentic IndexSource 44.9%20.8%GPT-5.5 leads
APEX-Agents-AASource 37.7%22.4%GPT-5.5 leads
GDPval-AASource 49.5%21.8%GPT-5.5 leads
GDPval-AASource 1490936GPT-5.5 leads
Gert LabsSource 72.93%—Not comparable
ResearchClawBenchSource 17.0%—Not comparable
OSWorld 2.0Source 13.0%2.8%GPT-5.5 leads
JobBenchSource 42.7%—Not comparable
ExploitGymSource 13.4%—Not comparable
AA BriefcaseSource 1154—Not comparable
AA AutomationBenchSource 42.1%—Not comparable
AA EnterpriseOps-GymSource 46.6%—Not comparable
AA Harvey LABSource 86.3%—Not comparable
AA ITBenchSource 45.8%—Not comparable
AA Tau3 BankingSource 31.3%—Not comparable
terminalBenchHardSource 60.6%—Not comparable
aaTerminalBench21Source 84.3%—Not comparable
QwenClawBenchSource —61.8%Not comparable
QwenWebBenchSource —1536Not comparable
Claw-EvalSource —62.7%Not comparable
BFCL v4Source —72.9%Not comparable
VITA-BenchSource —45.6%Not comparable
DeepPlanningSource —62.3%Not comparable
AndroidWorldSource —81.0%Not comparable
CodingQwen3.7 Plus wins
BenchmarkGPT-5.5Qwen3.7 PlusResult
SWE-bench ProSource 58.6%57.6%GPT-5.5 leads
Terminal-Bench 2.0Source 82.0%70.3%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%55.9%GPT-5.5 leads
AA-SciCodeSource 56.1%45.5%GPT-5.5 leads
FrontierCode 1.1 MainSource 43.0%—Not comparable
SWE-bench VerifiedSource —77.7%Not comparable
SWE MultilingualSource —75.8%Not comparable
NL2RepoSource —41.1%Not comparable
SciCodeSource —51.3%Not comparable
LiveCodeBenchSource —89.6%Not comparable
ReasoningQwen3.7 Plus wins
BenchmarkGPT-5.5Qwen3.7 PlusResult
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%65.0%GPT-5.5 leads
CritPtSource 27.1%9.1%GPT-5.5 leads
MRCRv2Source —91.7%Not comparable
KnowledgeQwen3.7 Plus wins
BenchmarkGPT-5.5Qwen3.7 PlusResult
GPQASource 93.6%90.3%GPT-5.5 leads
GPQA-DSource 93.6%90.3%GPT-5.5 leads
HLESource 52.2%34.7%GPT-5.5 leads
HLE w/o toolsSource 41.4%—Not comparable
Artificial Analysis Intelligence IndexSource 54.8%39.0%GPT-5.5 leads
AA-GPQA DiamondSource 93.5%90.0%GPT-5.5 leads
AA-HLESource 44.3%33.4%GPT-5.5 leads
AA-Omniscience IndexSource 20.1%2.4%GPT-5.5 leads
AA-Omniscience AccuracySource 56.9%22.2%GPT-5.5 leads
AA-Omniscience Hallucination RateSource 85.5%25.5%Qwen3.7 Plus leads
MMLU-ProSource —88.5%Not comparable
MMLU-ReduxSource —94.5%Not comparable
SuperGPQASource —71.4%Not comparable
MMMLUSource —89.0%Not comparable
MathQwen3.7 Plus wins
BenchmarkGPT-5.5Qwen3.7 PlusResult
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 —92.9%Not comparable
IMOAnswerBenchSource —86.0%Not comparable
ApexSource —22.7%Not comparable
Multilingual
BenchmarkGPT-5.5Qwen3.7 PlusResult
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
MultimodalQwen3.7 Plus wins
BenchmarkGPT-5.5Qwen3.7 PlusResult
MMMU-ProSource 81.2%79%GPT-5.5 leads
MMMU-Pro w/ PythonSource 83.2%—Not comparable
OfficeQA ProSource 54.1%—Not comparable
AA-MMMU-ProSource 79.9%80.5%Qwen3.7 Plus leads
Design Arena WebsiteSource 12821288Qwen3.7 Plus leads
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
BenchmarkGPT-5.5Qwen3.7 PlusResult
AA-IFBenchSource 75.9%78.0%Qwen3.7 Plus leads
IFEvalSource —94.6%Not comparable
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (7)

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

GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 67.22. The biggest single separator in this matchup is HLE, where the scores are 52.2% and 34.7%.

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

Qwen3.7 Plus has the edge for knowledge tasks in this comparison, averaging 60.1 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 Plus?

Qwen3.7 Plus has the edge for coding in this comparison, averaging 75.6 versus 58.6. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

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

Qwen3.7 Plus has the edge for math in this comparison, averaging 92.9 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 Plus?

Qwen3.7 Plus has the edge for reasoning in this comparison, averaging 91.7 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 Plus?

GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.6 versus 71.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.5 or Qwen3.7 Plus?

Qwen3.7 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 81.5 versus 70.4. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.

Related Comparisons

Explore More

OpenAI Compare Pricing Methodology Find Your Best LLM Overall Rankings
Last updated: July 23, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.