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Qwen3.7 Max

Alibaba

Strongest in Academic knowledge (#12 of 123), weakest in Harm refusal (#246 of 300). Above par in 17 of 28 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Gemini 3 Pro and ahead of Claude Sonnet 4 and GPT-4.1.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Knowledge58.4#14/138
Academic knowledge60.1#12/123
Human preference64.2#30/342
Human preference64.2#30/342
Reasoning52.8#68/178
Science59.8#25/122
Reasoning55.2#41/140
Mathematics44.1#100/140
Professional51.2#70/168
Finance54.8#48/151
Legal49.6#82/151
Medical48.6#91/140
Agents53.9#77/268
Knowledge work55#54/178
Core abilities51.3#79/204
Instruction following60.7#13/57
Language50.8#31/57
Data analysis47.3#39/57
General intelligence47.3#121/204
Coding44.3#122/165
Code generation43.4#57/77
Agentic coding44.5#108/157
Safety48.3#225/337
Secure code62.1#47/274
Fairness52.2#94/300
Toxicity avoidance52.7#157/272
Jailbreak resistance33.3#241/272
Harm refusal45#246/300

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Qwen3.7 Max, left for the other.

Mistral Medium 3.5won 17 · lost 0
Grok Build 0.1won 18 · lost 1
Gemini 3.5 Flash Litewon 20 · lost 2
Mistral Large 3won 17 · lost 2
GPT-5.4 Nanowon 20 · lost 3
Command Awon 19 · lost 3
Qwen3.6 Pluswon 19 · lost 3
GPT-5.4 Miniwon 19 · lost 3
Grok 4.3won 24 · lost 4
Mistral Smallwon 16 · lost 3
Ling 3.0 Flashwon 15 · lost 3
Gemini 1.5 Prowon 15 · lost 3
GPT-4o Miniwon 20 · lost 4
GPT-4.1 Nanowon 20 · lost 4
Llama 4 Scout Instructwon 18 · lost 4
Grok 4.1 Fastwon 17 · lost 4
Mistral Largewon 13 · lost 4
Gemini 2.5 Flash Litewon 13 · lost 4
GLM-4.6won 17 · lost 6
Gemini 2.0 Flashwon 16 · lost 6
Gemini 3.1 Flash Litewon 13 · lost 5
DeepSeek V3won 18 · lost 7
GPT OSS 20Bwon 15 · lost 6
Kimi K2.6won 20 · lost 8
GPT OSS 120Bwon 17 · lost 7
Claude Haiku 4.5won 17 · lost 7
GPT-4owon 14 · lost 7
DeepSeek V3.2won 16 · lost 8
O3 Miniwon 15 · lost 8
Mimo V2.5 Prowon 15 · lost 8
Claude 3.5 Haikuwon 13 · lost 7
Grok 3won 13 · lost 7
Kimi K2.7 Codewon 12 · lost 7
DeepSeek R1won 15 · lost 9
MiniMax M2.7won 13 · lost 8
Gemma 4 31Bwon 13 · lost 8
Grok 4won 14 · lost 9
GLM-5.1won 13 · lost 9
Grok 4 Fastwon 10 · lost 7
GPT-4.1 Miniwon 14 · lost 10
Kimi K2.5won 14 · lost 10
GLM-4.5won 11 · lost 8
MiniMax M3won 16 · lost 12
Inklingwon 16 · lost 12
Claude 3.5 Sonnetwon 11 · lost 9
Qwen3.8 27Bwon 12 · lost 10
O4 Miniwon 13 · lost 11
GLM-5won 9 · lost 8
GPT-5 Nanowon 11 · lost 10
Claude 3.7 Sonnetwon 11 · lost 10
GPT-4.1won 12 · lost 11
Claude Sonnet 4won 13 · lost 12
GPT-5 Miniwon 12 · lost 12
DeepSeek V4 Flashwon 14 · lost 14
Kimi K2won 11 · lost 12
GLM-5.2won 13 · lost 15
Claude Sonnet 4.6won 12 · lost 14
Gemini 2.5 Flashwon 11 · lost 13
GPT-5.1won 10 · lost 12
O1won 9 · lost 11
GPT-6 Lunawon 11 · lost 14
Gemini 2.5 Prowon 11 · lost 14
Claude Opus 4won 10 · lost 13
GLM-5.3 Flashwon 12 · lost 16
O3won 10 · lost 14
Claude Sonnet 4.5won 10 · lost 14
Kimi K2 Thinkingwon 8 · lost 12
GPT-5.6 Lunawon 11 · lost 17
Gemini 3.6 Flashwon 11 · lost 17
GPT-5won 9 · lost 15
Claude Opus 4.5won 8 · lost 14
Qwen3 235B A22B Instructwon 8 · lost 15
Claude Sonnet 5won 9 · lost 19
DeepSeek V4 Prowon 9 · lost 19
Claude Opus 4.6won 7 · lost 17
Grok 4.5won 8 · lost 20
GPT-6 Solwon 7 · lost 18
Gemini 3.5 Flashwon 7 · lost 21
GLM-5.3won 5 · lost 17
GPT-5.2won 6 · lost 21
GPT-5.6 Terrawon 6 · lost 22
Muse Spark 1.1won 6 · lost 22
Grok 4.7won 5 · lost 20
DeepSeek V4.1 Flashwon 4 · lost 17
Qwen3.8 Maxwon 5 · lost 23
Claude Opus 4.7won 5 · lost 23
Muse Spark 1.2won 3 · lost 18
GPT-5.4won 4 · lost 24
GPT-5.5won 4 · lost 24
GPT-5.6 Solwon 4 · lost 24
Kimi K3won 3 · lost 19
Gemini 3.1 Prowon 3 · lost 20
Grok 4.6won 3 · lost 25
Claude Opus 4.8won 3 · lost 25
Mimo V2.6 Prowon 2 · lost 17
Gemini 3.8 Flashwon 2 · lost 26
GPT-6 Astrawon 1 · lost 19
Gemini 3.7 Flashwon 1 · lost 21
Claude Fable 5.1won 1 · lost 21
Claude Opus 5.5won 1 · lost 24
Claude Opus 5won 1 · lost 27
Muse Spark 1.3won 0 · lost 18
Gemini 3 Prowon 0 · lost 20
Claude Fable 5won 0 · lost 22

§ 3 · Sources

Where the numbers come from

7 publications, 31 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1475
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1114
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 915
LiveBench ↗8 measuresread 2026-09-26
LiveBench 73.1LiveBench · Reasoning 83.3LiveBench · Coding 74.2LiveBench · Agentic Coding 43.6LiveBench · Mathematics 85.2LiveBench · Data Analysis 71.8LiveBench · Language 79.7LiveBench · Instruction Following 74
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 70.4%
Vals.ai ↗13 measuresread 2026-09-26
Vals · Legal Research Bench 25.48%Vals · LegalBench 84.91%Vals · Harvey Legal Agent Benchmark 1.67%Vals · Finance Agent 47.78%Vals · CorpFin 63.71%Vals · TaxEval 75.31%Vals · MedCode 38.75%Vals · MedScribe 79.4%Vals · SWE-bench Verified 68.8% (Mini-SWE-agent)Vals · Vibe Code Bench 47.67% (OpenHands)Vals · Code Migration 13.07%Vals · GPQA Diamond 90.15%Vals · MMLU Pro 89.31%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 26.9%Enkrypt · Harmful content risk 8.9%Enkrypt · CBRN risk 49.8%Enkrypt · Toxicity risk 4.4%Enkrypt · Bias risk 74.4%Enkrypt · Insecure code risk 8.9%

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