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Model comparison

GPT-4o vs Qwen3.7 Max

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.

OpenAI
41.49/100
Margin
31.4pts
winning →
72.84/100
0 category wins1 category wins

Public leaderboard positions: GPT-4o #165 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4o and Qwen3.7 Max share 12 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to GPT-4o; 46 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
12
GPT-4o only
1
Qwen3.7 Max only
46
Comparable categories
1 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-4o only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.7 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 41.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.7 Max's sharpest advantage is in mathematics, where it averages 97.1 against 0.3.

Qwen3.7 Max is the reasoning model in the pair, while GPT-4o is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Qwen3.7 Max gives you the larger context window at 1M, compared with 128K for GPT-4o.

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-4o and Qwen3.7 Max
CategoryGPT-4oΔQwen3.7 Max
MathGPT-4o0.3Margin 96.8Qwen3.7 Max97.1
AgenticGPT-4oNot measuredMarginNo overlapQwen3.7 Max69.7
CodingGPT-4oNot measuredMarginNo overlapQwen3.7 Max77.9
ReasoningGPT-4oNot measuredMarginNo overlapQwen3.7 Max90.4
KnowledgeGPT-4oNot measuredMarginNo overlapQwen3.7 Max64.2
MultilingualGPT-4oNot measuredMarginNo overlapQwen3.7 Max87.0
Inst. FollowingGPT-4oNot measuredMarginNo overlapQwen3.7 Max84.4

Operational comparison

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

MetricGPT-4oQwen3.7 MaxComparison
Input / output priceUSD per 1M tokensGPT-4o$2.5 input / $10 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-4o131 tok/sQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4o0.81 sQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4o128KQwen3.7 Max1MQwen3.7 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4oQwen3.7 MaxResult
τ²-bench resultsSource 25.1%94.7%Qwen3.7 Max leads
Terminal-Bench 2.0Source 69.7%Not comparable
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
AA Agentic IndexSource 30.6%Not comparable
GDPval-AASource 38.7%Not comparable
GDPval-AASource 1273Not comparable
Gert LabsSource 64.27%Not comparable
ResearchClawBenchSource 18.7%Not comparable
AA BriefcaseSource 908Not comparable
AA AutomationBenchSource 25.6%Not comparable
AA EnterpriseOps-GymSource 45.0%Not comparable
AA ITBenchSource 42.5%Not comparable
terminalBenchHardSource 50.8%Not comparable
aaTerminalBench21Source 74.5%Not comparable
AA Harvey LABSource 83.4%Not comparable
Coding
BenchmarkGPT-4oQwen3.7 MaxResult
AA-SciCodeSource 33.3%48.8%Qwen3.7 Max leads
SWE-bench VerifiedSource 80.4%Not comparable
SWE-bench ProSource 60.6%Not comparable
SWE MultilingualSource 78.3%Not comparable
NL2RepoSource 47.2%Not comparable
SciCodeSource 53.5%Not comparable
LiveCodeBenchSource 91.6%Not comparable
Terminal-Bench 2.0Source 69.7%Not comparable
AA Coding IndexSource 66.0%Not comparable
Reasoning
BenchmarkGPT-4oQwen3.7 MaxResult
AA-LCRSource 0.0%69.0%Qwen3.7 Max leads
CritPtSource 0.0%13.4%Qwen3.7 Max leads
MRCRv2Source 90.4%Not comparable
Knowledge
BenchmarkGPT-4oQwen3.7 MaxResult
Artificial Analysis Intelligence IndexSource 11.2%46.0%Qwen3.7 Max leads
AA-GPQA DiamondSource 54.3%92.3%Qwen3.7 Max leads
AA-HLESource 3.3%38.1%Qwen3.7 Max leads
AA-Omniscience IndexSource -10.7%14.1%Qwen3.7 Max leads
AA-Omniscience AccuracySource 19.7%30.1%Qwen3.7 Max leads
AA-Omniscience Hallucination RateSource 37.9%22.9%Qwen3.7 Max leads
GPQASource 92.4%Not comparable
GPQA-DSource 92.4%Not comparable
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-4oQwen3.7 MaxResult
FrontierMath v2 (Tiers 1-3)Source 0.345%Not comparable
HMMT Feb 2026Source 97.1%Not comparable
IMOAnswerBenchSource 90.0%Not comparable
ApexSource 44.5%Not comparable
Multilingual
BenchmarkGPT-4oQwen3.7 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-4oQwen3.7 MaxResult
Design Arena WebsiteSource 8611293Qwen3.7 Max leads
Inst. Following
BenchmarkGPT-4oQwen3.7 MaxResult
AA-IFBenchSource 34.3%80.5%Qwen3.7 Max leads
IFEvalSource 94.3%Not comparable
IFBenchSource 79.1%Not comparable
Frequently Asked Questions (2)

Which is better, GPT-4o or Qwen3.7 Max?

Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 41.49.

Which is better for math, GPT-4o or Qwen3.7 Max?

Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 0.3. GPT-4o stays close enough that the answer can still flip depending on your workload.

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Last updated: July 23, 2026

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