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The LLM benchmark aggregator.

Qwen3.7 Plus

Alibaba

Strongest in Computer use (#8 of 68, on 1 of its 2 boards), weakest in Legal (#144 of 173). Above par in 4 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Muse Spark 1.1 and ahead of Qwen3.6 Plus and GLM-4.7.

§ 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.

Human preference62#59/354
Human preference62#59/354
Agents53.3#76/298
Computer use62.3#8/68
Knowledge work49.2#101/208
Coding45.7#119/179
Agentic coding45.4#115/173
Professional47.1#137/194
Finance48.5#107/162
Legal42.2#144/173

§ 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 Plus, left for the other.

Llama 3.1 8B Instructwon 6 · lost 0
Gemma 3 27B ITwon 6 · lost 0
GPT OSS 20Bwon 7 · lost 0
Mistral Medium 3.1won 7 · lost 0
GPT-4o miniwon 8 · lost 0
GPT-4.1 nanowon 9 · lost 0
GPT-5.4 nanowon 9 · lost 0
Mistral Medium 3.5won 9 · lost 0
Claude Haiku 4.5won 8 · lost 1
Gemini 3.1 Flash-Litewon 8 · lost 1
Mercury 2.5won 6 · lost 1
Nemotron 3.5 Super VLwon 6 · lost 1
Llama 4 Scout Instructwon 6 · lost 1
Gemini 2.0 Flashwon 6 · lost 1
GPT-5 nanowon 5 · lost 1
Gemma 4 31Bwon 8 · lost 2
GPT-4owon 7 · lost 2
GPT OSS 120Bwon 7 · lost 2
MiniMax M2.7won 7 · lost 2
Grok 4.3won 7 · lost 2
Command Awon 6 · lost 2
Ling 3.0 Flash Finwon 5 · lost 2
Llama 3.3 70B Instructwon 5 · lost 2
Trinity Largewon 5 · lost 2
Qwen3 32Bwon 4 · lost 2
Gemini 2.5 Flash-Litewon 4 · lost 2
Claude 3.5 Haikuwon 6 · lost 3
GPT-5 miniwon 6 · lost 3
Mistral Large 3won 6 · lost 3
GLM-4.6won 6 · lost 3
GPT-5.4 miniwon 6 · lost 3
Gemini 3.5 Flash-Litewon 6 · lost 3
Inklingwon 6 · lost 4
Kimi K2.5won 6 · lost 4
Ling 3.0 Flashwon 4 · lost 3
Grok 4 Fastwon 4 · lost 3
Qwen3 Maxwon 4 · lost 3
Grok 4.20won 4 · lost 3
O3 Miniwon 5 · lost 4
DeepSeek R1won 5 · lost 4
MiMo V2.5won 5 · lost 4
GLM-4.7won 5 · lost 4
Qwen3.6 Pluswon 5 · lost 4
Grok 4.1 Fastwon 4 · lost 4
Claude Sonnet 4won 5 · lost 5
GPT-4.1 miniwon 4 · lost 5
Claude 3.7 Sonnetwon 4 · lost 5
DeepSeek V3won 4 · lost 5
DeepSeek V3.2won 4 · lost 5
O3won 4 · lost 5
Gemini 2.5 Prowon 4 · lost 5
Gemini 3.1 Prowon 4 · lost 5
Qwen3.6 27Bwon 3 · lost 4
Mistral Large 4won 4 · lost 6
Qwen3.8 27Bwon 4 · lost 6
MiniMax M3won 4 · lost 6
GPT-6 Lunawon 4 · lost 6
Step 5won 4 · lost 6
Claude Sonnet 4.5won 4 · lost 6
Grok 4won 3 · lost 5
Kimi K2won 3 · lost 5
Beam 1.0won 2 · lost 4
Claude 3.5 Sonnetwon 2 · lost 4
Inkling Smallwon 3 · lost 6
GPT-5won 3 · lost 6
Qwen3.7 Maxwon 3 · lost 6
Claude Haiku 5.5won 3 · lost 7
Grok 4.7won 3 · lost 7
Grok 3 Miniwon 2 · lost 5
MiniMax M2.1won 2 · lost 5
MiniMax M2.5won 2 · lost 5
Qwen3.5 Flashwon 2 · lost 5
O1won 2 · lost 5
Grok 3won 2 · lost 5
Claude Opus 4won 2 · lost 5
Gemini 3 Flashwon 2 · lost 5
Muse Spark Openwon 2 · lost 6
O4 Miniwon 2 · lost 6
Gemini 2.5 Flashwon 2 · lost 6
Inkling 2 Smallwon 2 · lost 6
GPT-4.1won 2 · lost 6
GPT-5.2won 2 · lost 6
Claude Opus 4.5won 2 · lost 6
DeepSeek V4 Flashwon 2 · lost 7
MiMo V2.6 Flashwon 2 · lost 7
GPT-5.6 Lunawon 2 · lost 7
Muse Sparkwon 2 · lost 7
GLM-5.3 Flashwon 2 · lost 8
Qwen3.8 Maxwon 2 · lost 8
Gemini 3.8 Flashwon 2 · lost 8
GPT-5.1won 1 · lost 6
MiniMax M3.1 Flashwon 1 · lost 6
GPT-6.1 Terrawon 1 · lost 6
Claude Fable 5.2won 1 · lost 6
Qwen3.6 Maxwon 1 · lost 6
GLM-5.1won 1 · lost 8
Grok 4.5won 1 · lost 8
MiMo V2.5 Prowon 1 · lost 8
Gemini 3.5 Flashwon 1 · lost 8
Kimi K3.1 Prowon 1 · lost 8
Gemini 3.6 Flashwon 1 · lost 8
Grok 4.6won 1 · lost 9
Kimi K2.6won 1 · lost 9
GPT-5.6 Terrawon 1 · lost 9
Claude Sonnet 5.5won 1 · lost 9
Claude Sonnet 4.6won 1 · lost 9
GPT-6 Astrawon 1 · lost 9
DeepSeek V4.1 Flashwon 1 · lost 9
MiMo V2.6 Prowon 1 · lost 9
Kimi K3won 1 · lost 9
Muse Spark 1.3won 1 · lost 9
Claude Fable 5.1won 1 · lost 9
Claude Opus 5.5won 1 · lost 9
Muse Wonderwon 1 · lost 9
Gemini 4 Argonwon 1 · lost 9
Muse Emberwon 0 · lost 6
Muse Wonder Fullwon 0 · lost 7
GLM-5won 0 · lost 7
Claude Opus 4.6won 0 · lost 7
Gemini 3 Prowon 0 · lost 8
Gemini 4 Carbonwon 0 · lost 8
GPT-6 Solwon 0 · lost 9
Claude Sonnet 5won 0 · lost 9
DeepSeek V4 Prowon 0 · lost 9
GLM-5.2won 0 · lost 9
GPT-5.4won 0 · lost 9
GPT-5.5won 0 · lost 9
Claude Opus 4.8won 0 · lost 9
GLM-5.3won 0 · lost 9
GPT-5.6 Solwon 0 · lost 9
Gemini 3.7 Flashwon 0 · lost 9
Muse Spark 1.2won 0 · lost 9
Claude Opus 4.7won 0 · lost 9
GPT-6.1 Solwon 0 · lost 10
Claude Opus 5won 0 · lost 10
Muse Spark 1.1won 0 · lost 10
Claude Fable 5won 0 · lost 10

§ 3 · Sources

Where the numbers come from

5 publications, 9 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1455
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 775
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 915
OSWorld ↗1 measureread 2026-11-10
OSWorld 73.3%
Vals.ai ↗5 measuresread 2026-11-10
Vals · Legal Research Bench 16.35%Vals · Finance Agent 38.22%Vals · MortgageTax 66.18%Vals · Vibe Code Bench 46.39% (OpenHands)Vals · Code Migration 12.86%

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