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Model comparison

o4-mini (high) vs Qwen3.7 Max

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
49.98/100
Margin
22.9pts
winning →
72.84/100
0 category wins1 category wins

Public leaderboard positions: o4-mini (high) #118 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o4-mini (high) and Qwen3.7 Max share 0 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to o4-mini (high); 58 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
0
o4-mini (high) only
2
Qwen3.7 Max only
58
Comparable categories
1 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. o4-mini (high) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 49.98. 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 20.2.

Qwen3.7 Max gives you the larger context window at 1M, compared with 200K for o4-mini (high).

Operational comparison

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

Metrico4-mini (high)Qwen3.7 MaxComparison
Input / output priceUSD per 1M tokenso4-mini (high)Not availableQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondo4-mini (high)161 tok/sQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno4-mini (high)21.94 sQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokenso4-mini (high)200KQwen3.7 Max1MQwen3.7 Max lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko4-mini (high)Qwen3.7 MaxResult
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
τ²-bench resultsSource 94.7%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
Benchmarko4-mini (high)Qwen3.7 MaxResult
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
AA-SciCodeSource 48.8%Not comparable
Reasoning
Benchmarko4-mini (high)Qwen3.7 MaxResult
MRCRv2Source 90.4%Not comparable
CritPtSource 13.4%Not comparable
AA-LCRSource 69.0%Not comparable
Knowledge
Benchmarko4-mini (high)Qwen3.7 MaxResult
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
Artificial Analysis Intelligence IndexSource 46.0%Not comparable
AA-GPQA DiamondSource 92.3%Not comparable
AA-HLESource 38.1%Not comparable
AA-Omniscience IndexSource 14.1%Not comparable
AA-Omniscience AccuracySource 30.1%Not comparable
AA-Omniscience Hallucination RateSource 22.9%Not comparable
MathQwen3.7 Max wins
Benchmarko4-mini (high)Qwen3.7 MaxResult
FrontierMath v2 (Tiers 1-3)Source 24.828%Not comparable
FrontierMath v2 (Tier 4)Source 6.250%Not comparable
HMMT Feb 2026Source 97.1%Not comparable
IMOAnswerBenchSource 90.0%Not comparable
ApexSource 44.5%Not comparable
Multilingual
Benchmarko4-mini (high)Qwen3.7 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
Benchmarko4-mini (high)Qwen3.7 MaxResult
Design Arena WebsiteSource 1293Not comparable
Inst. Following
Benchmarko4-mini (high)Qwen3.7 MaxResult
IFEvalSource 94.3%Not comparable
IFBenchSource 79.1%Not comparable
AA-IFBenchSource 80.5%Not comparable
Frequently Asked Questions (2)

Which is better, o4-mini (high) or Qwen3.7 Max?

Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 49.98.

Which is better for math, o4-mini (high) or Qwen3.7 Max?

Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 20.2. o4-mini (high) 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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