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The LLM benchmark aggregator.

Qwen3 Max

Alibaba

Strongest in Finance (#26 of 162), weakest in Coding (#152 of 179). Above par in 10 of 15 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of GPT-6 Luna and Grok 4.1 Fast.

§ 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.

Core abilities56.7#32/199
General intelligence59.7#29/178
Reasoning54#57/195
Science56.1#50/122
Mathematics53.9#65/152
Knowledge52#86/197
Academic knowledge54.7#58/123
Professional49.7#100/194
Finance57.3#26/162
Legal49#98/173
Medical44.1#123/149
Human preference58.9#106/354
Human preference58.9#106/354
Coding42.2#152/179
Agentic coding41.4#151/173

§ 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 Max, left for the other.

Jamba 1.6 Miniwon 9 · lost 0
Jamba 1.6 Largewon 9 · lost 0
Command R+won 9 · lost 0
Laguna XS.2won 10 · lost 0
Laguna M.1won 10 · lost 0
Mistral Smallwon 10 · lost 0
Gemini 1.5 Flashwon 10 · lost 0
Llama 4 Scout Instructwon 13 · lost 0
GPT-4o miniwon 13 · lost 1
Gemini 2.5 Flash-Litewon 12 · lost 1
Mistral Large 2.1won 9 · lost 1
Llama 3.3 70B Instructwon 9 · lost 1
Grok 2won 9 · lost 1
Mistral Medium 3.1won 9 · lost 1
Magistral Small 1.2won 8 · lost 1
GPT-4.1 nanowon 13 · lost 2
Command Awon 13 · lost 2
Mistral Medium 3.5won 13 · lost 2
GPT OSS 20Bwon 11 · lost 2
GPT-5 nanowon 11 · lost 2
Claude Haiku 4.5won 11 · lost 2
Claude 3.5 Haikuwon 10 · lost 2
Gemini 1.5 Prowon 9 · lost 2
Ling 3.0 Flashwon 8 · lost 2
GPT OSS 120Bwon 12 · lost 3
Mistral Large 3won 12 · lost 3
DeepSeek R1won 11 · lost 3
Magistral Medium 1.2won 7 · lost 2
GLM-4.5won 10 · lost 3
Gemini 2.0 Flashwon 11 · lost 4
DeepSeek V3won 11 · lost 4
GPT-5.4 nanowon 11 · lost 4
Kimi K2won 11 · lost 4
Gemma 4 31Bwon 8 · lost 3
GPT-5.4 miniwon 10 · lost 4
GPT-4owon 9 · lost 4
O3 Miniwon 9 · lost 4
MiMo V2.5won 9 · lost 4
Claude 3.5 Sonnetwon 8 · lost 4
GPT-4.1 miniwon 10 · lost 5
GPT-5 miniwon 10 · lost 5
MiniMax M2.5won 10 · lost 5
Grok 4 Fastwon 10 · lost 5
Gemini 2.5 Flashwon 10 · lost 5
Grok 3won 10 · lost 5
GPT-4.1won 10 · lost 5
Gemini 3.1 Flash-Litewon 10 · lost 5
MiniMax M2.1won 8 · lost 5
Claude 3.7 Sonnetwon 8 · lost 5
O1won 8 · lost 5
MiMo V2.5 Prowon 8 · lost 5
Grok 3 Miniwon 9 · lost 6
O4 Miniwon 9 · lost 6
Claude Sonnet 4won 9 · lost 6
Inkling Smallwon 9 · lost 6
DeepSeek V3.2won 9 · lost 6
GLM-4.6won 9 · lost 6
Gemini 3.5 Flash-Litewon 9 · lost 6
Mistral Large 4won 7 · lost 5
Step 5won 6 · lost 5
Kimi K2 Thinkingwon 7 · lost 6
Qwen3.5 Flashwon 7 · lost 6
MiniMax M2.7won 7 · lost 6
Claude Haiku 5.5won 7 · lost 6
Grok 4.1 Fastwon 7 · lost 6
GPT-6 Lunawon 7 · lost 6
MiniMax M3won 7 · lost 8
Inklingwon 7 · lost 8
Gemini 2.5 Prowon 7 · lost 8
GLM-4.7won 6 · lost 7
DeepSeek V4won 5 · lost 6
Inkling 2 Smallwon 4 · lost 5
Grok 4.3won 6 · lost 8
Qwen3.6 Pluswon 6 · lost 8
Grok 4.7won 5 · lost 7
MiMo V2.6 Flashwon 5 · lost 7
MiMo V2.6 Prowon 5 · lost 7
Qwen3.8 27Bwon 6 · lost 9
Grok 4.20won 6 · lost 9
Claude Opus 4.1won 4 · lost 7
O3won 5 · lost 10
DeepSeek V4 Flashwon 5 · lost 10
Kimi K2.5won 5 · lost 10
Claude Sonnet 4.5won 5 · lost 10
GLM-5.2won 5 · lost 10
GLM-5.3won 5 · lost 10
GLM-5.1won 4 · lost 9
DeepSeek V4.1 Flashwon 4 · lost 9
Kimi K2.6won 4 · lost 10
Qwen3.7 Maxwon 4 · lost 10
Claude Opus 4won 4 · lost 11
GPT-5.6 Lunawon 4 · lost 11
Grok 4.6won 4 · lost 11
GLM-5won 4 · lost 11
DeepSeek V4 Prowon 4 · lost 11
GLM-5.3 Flashwon 4 · lost 11
GPT-6 Solwon 3 · lost 9
Muse Spark 1.2won 3 · lost 10
Claude Sonnet 4.6won 3 · lost 11
Muse Spark 1.1won 3 · lost 11
Grok 4won 3 · lost 12
Grok 4.5won 3 · lost 12
GPT-5.4won 3 · lost 12
Qwen3.8 Maxwon 3 · lost 12
Kimi K3won 3 · lost 12
Gemini 3.8 Flashwon 3 · lost 12
Muse Wonderwon 2 · lost 9
GPT-5.1won 2 · lost 11
Claude Sonnet 5.5won 2 · lost 11
Gemini 3 Flashwon 2 · lost 11
GPT-6 Astrawon 2 · lost 11
GPT-6.1 Solwon 2 · lost 11
Gemini 3.5 Flashwon 2 · lost 12
Gemini 3.6 Flashwon 2 · lost 12
Gemini 3.1 Prowon 2 · lost 12
GPT-5won 2 · lost 13
GPT-5.6 Terrawon 2 · lost 13
Claude Opus 4.5won 2 · lost 13
GPT-5.6 Solwon 2 · lost 13
Claude Opus 4.6won 2 · lost 13
Muse Wonder Fullwon 1 · lost 9
Kimi K3.1 Prowon 1 · lost 9
Qwen 3.5 Pluswon 1 · lost 10
Muse Spark 1.3won 1 · lost 10
Claude Opus 5.5won 1 · lost 12
Claude Sonnet 5won 1 · lost 13
Gemini 3.7 Flashwon 1 · lost 13
Claude Opus 5won 1 · lost 13
GPT-5.2won 1 · lost 14
Gemini 3 Prowon 1 · lost 14
Claude Opus 4.7won 1 · lost 14
Gemini 4 Carbonwon 0 · lost 9
Gemini 4 Argonwon 0 · lost 12
Muse Sparkwon 0 · lost 13
GPT-5.5won 0 · lost 15
Claude Opus 4.8won 0 · lost 15
Claude Fable 5.1won 0 · lost 15
Claude Fable 5won 0 · lost 15

§ 3 · Sources

Where the numbers come from

3 publications, 13 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1423
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 72.5%
Vals.ai ↗11 measuresread 2026-11-10
Vals · CaseLaw 54.98%Vals · LegalBench 81.86%Vals · CorpFin 68.03%Vals · TaxEval 73.51%Vals · MedQA 87.37%Vals · MedCode 31.37%Vals · MedScribe 72.71%Vals · Vibe Code Bench 3.51% (OpenHands)Vals · GPQA Diamond 84.85%Vals · MMLU Pro 84.98%Vals · AIME 81.04%

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