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Model comparison

GPT-5.6 Sol vs Qwen3.7 Max

Data verified

Head-to-head evidence from 26 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

81.96/100
Margin
9.1pts
← winning
72.84/100
2 category wins2 category wins

Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.6 Sol and Qwen3.7 Max share 26 comparable benchmark results. 4 of 8 categories are comparable. 20 results are unique to GPT-5.6 Sol; 32 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
26
GPT-5.6 Sol only
20
Qwen3.7 Max only
32
Comparable categories
4 / 8

Pick GPT-5.6 Sol if you want the stronger benchmark profile. Qwen3.7 Max only becomes the better choice if coding is the priority.

Confidence note. This is a partial-evidence comparison with 26 shared benchmark results across 5 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.6 Sol is clearly ahead on the BenchAlign aggregate, 81.96 to 72.84. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.6 Sol's sharpest advantage is in knowledge, where it averages 94.6 against 64.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 91.9% to 69.7%. Qwen3.7 Max does hit back in coding, 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-5.6 Sol and Qwen3.7 Max
CategoryGPT-5.6 SolΔQwen3.7 Max
KnowledgeGPT-5.6 Sol94.6Margin← 30.4Qwen3.7 Max64.2
AgenticGPT-5.6 Sol92.0Margin← 22.3Qwen3.7 Max69.7
CodingGPT-5.6 Sol64.6Margin→ 13.3Qwen3.7 Max77.9
MathGPT-5.6 Sol87.5Margin→ 9.6Qwen3.7 Max97.1
ReasoningGPT-5.6 SolNot measuredMarginNo overlapQwen3.7 Max90.4
MultilingualGPT-5.6 SolNot measuredMarginNo overlapQwen3.7 Max87.0
MultimodalGPT-5.6 Sol83.0MarginNo overlapQwen3.7 MaxNot measured
Inst. FollowingGPT-5.6 SolNot measuredMarginNo overlapQwen3.7 Max84.4

Decisive benchmark drivers

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

More
A · GPT-5.6 SolB · Qwen3.7 Max

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 91.9%B 69.7%
    Winner: GPT-5.6 SolΔ 22.2
    Terminal-Bench 2.0: GPT-5.6 Sol scored 91.9%; Qwen3.7 Max scored 69.7%. GPT-5.6 Sol wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 64.6%B 60.6%
    Winner: GPT-5.6 SolΔ 4
    SWE-bench Pro: GPT-5.6 Sol scored 64.6%; Qwen3.7 Max scored 60.6%. GPT-5.6 Sol wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 94.6%B 92.4%
    Winner: GPT-5.6 SolΔ 2.2
    GPQA: GPT-5.6 Sol scored 94.6%; Qwen3.7 Max scored 92.4%. GPT-5.6 Sol wins this benchmark.

Operational comparison

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

MetricGPT-5.6 SolQwen3.7 MaxComparison
Input / output priceUSD per 1M tokensGPT-5.6 Sol$5 input / $30 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.6 SolNot availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.6 SolNot availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.6 Sol1MQwen3.7 Max1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolQwen3.7 MaxResult
Terminal-Bench 2.0Source 91.9%69.7%GPT-5.6 Sol leads
BrowseCompSource 92.2%—Not comparable
OSWorld 2.0Source 62.6%—Not comparable
CyberGymSource 84.5%—Not comparable
ExploitGymSource 33.7%—Not comparable
ToolathlonSource 58%—Not comparable
AA Agentic IndexSource 54.0%30.6%GPT-5.6 Sol leads
τ²-bench resultsSource 85.1%94.7%Qwen3.7 Max leads
GDPval-AASource 61.8%38.7%GPT-5.6 Sol leads
GDPval-AASource 17361273GPT-5.6 Sol leads
AA BriefcaseSource 1501908GPT-5.6 Sol leads
AA ITBenchSource 56.2%42.5%GPT-5.6 Sol leads
AA Tau3 BankingSource 33.0%—Not comparable
AA AutomationBenchSource 51.2%25.6%GPT-5.6 Sol leads
AA Harvey LABSource 87.2%83.4%GPT-5.6 Sol leads
terminalBenchHardSource 65.9%50.8%GPT-5.6 Sol leads
aaTerminalBench21Source 88%74.5%GPT-5.6 Sol leads
QwenClawBenchSource —64.3%Not comparable
QwenWebBenchSource —1568Not comparable
Claw-EvalSource —65.2%Not comparable
BFCL v4Source —75.0%Not comparable
MCP AtlasSource —76.4%Not comparable
VITA-BenchSource —47.9%Not comparable
HLE w/ toolsSource —53.5%Not comparable
Gert LabsSource —64.27%Not comparable
ResearchClawBenchSource —18.7%Not comparable
AA EnterpriseOps-GymSource —45.0%Not comparable
CodingQwen3.7 Max wins
BenchmarkGPT-5.6 SolQwen3.7 MaxResult
SWE-bench ProSource 64.6%60.6%GPT-5.6 Sol leads
Terminal-Bench 2.0Source 91.9%69.7%GPT-5.6 Sol leads
deepSweSource 72.7%—Not comparable
FrontierCode 1.1 ExtendedSource 60.6%—Not comparable
cursorBench32Source 67.2%—Not comparable
VulcanBench v3Source 87.0%—Not comparable
AA Coding IndexSource 77.4%66.0%GPT-5.6 Sol leads
AA-SciCodeSource 56.1%48.8%GPT-5.6 Sol leads
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
Reasoning
BenchmarkGPT-5.6 SolQwen3.7 MaxResult
ARC-AGI-3Source 7.8%—Not comparable
GeneBench-ProSource 28.7%—Not comparable
AA-LCRSource 73.7%69.0%GPT-5.6 Sol leads
CritPtSource 32.3%13.4%GPT-5.6 Sol leads
MRCRv2Source —90.4%Not comparable
KnowledgeGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolQwen3.7 MaxResult
GPQASource 94.6%92.4%GPT-5.6 Sol leads
GPQA-DSource 94.6%92.4%GPT-5.6 Sol leads
HealthBench ProfessionalSource 60.5%—Not comparable
HealthBench HardSource 33.1%—Not comparable
Artificial Analysis Intelligence IndexSource 58.9%46.0%GPT-5.6 Sol leads
AA-GPQA DiamondSource 94.1%92.3%GPT-5.6 Sol leads
AA-HLESource 47.2%38.1%GPT-5.6 Sol leads
AA-Omniscience IndexSource 21.7%14.1%GPT-5.6 Sol leads
AA-Omniscience AccuracySource 58.5%30.1%GPT-5.6 Sol leads
AA-Omniscience Hallucination RateSource 88.8%22.9%Qwen3.7 Max leads
HLESource —41.4%Not comparable
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-5.6 SolQwen3.7 MaxResult
FrontierMath (legacy)Source 89%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 89.000%—Not comparable
FrontierMath v2 (Tier 4)Source 83.000%—Not comparable
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkGPT-5.6 SolQwen3.7 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-5.6 SolQwen3.7 MaxResult
MMMU-ProSource 83%—Not comparable
MMMU-Pro w/ PythonSource 84.6%—Not comparable
AA-MMMU-ProSource 83.4%—Not comparable
Design Arena WebsiteSource —1293Not comparable
Inst. Following
BenchmarkGPT-5.6 SolQwen3.7 MaxResult
AA-IFBenchSource 72.7%80.5%Qwen3.7 Max leads
IFEvalSource —94.3%Not comparable
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (5)

Which is better, GPT-5.6 Sol or Qwen3.7 Max?

GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 72.84. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 91.9% and 69.7%.

Which is better for knowledge tasks, GPT-5.6 Sol or Qwen3.7 Max?

GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 64.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.6 Sol or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 64.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.6 Sol or Qwen3.7 Max?

Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 87.5. GPT-5.6 Sol stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, GPT-5.6 Sol or Qwen3.7 Max?

GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 69.7. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.

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