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Qwen3.5 122B A10B

Alibaba · 125B · A10B · open weights

Strongest in Fairness (#32 of 292, on 1 of its 2 boards), weakest in Agents (#190 of 298). Above par in 7 of 11 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Opus 5 and ahead of Kimi K2.6 and GLM-4.6.

§ 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.

Safety53.5−7.9#84/3292/3

Fairness61.7−8.3#32/2921/2

Secure code62.8−3.4#33/2701/1

Factual grounding46.8−23.9#72/1041/1

Toxicity avoidance53.7−5.3#132/2681/1

Harm refusal50.8−10.7#141/2921/2

Jailbreak resistance48.5−16.5#184/2681/1

Human preference58.2−10.6#112/3541/1

Agents46.7−19.7#190/2982/6

Knowledge work44.6−26.1#125/2082/2

§ 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 Qwen3.5 122B A10B, left for the other.

Jamba Mini 1.7won 7 · lost 0

OLMo 7B Instructwon 8 · lost 0

SmolLM2 1.7B Instructwon 8 · lost 0

Zephyr 7B Betawon 8 · lost 0

Gemma 7B ITwon 8 · lost 0

DeepSeek LLM 67B Chatwon 8 · lost 0

Qwen1.5 14B Chatwon 8 · lost 0

Magistral Mediumwon 8 · lost 0

GLM-4.5won 8 · lost 0

Qwen3 VL 235B A22B Instructwon 8 · lost 0

DeepSeek V3won 10 · lost 1

GPT OSS 20Bwon 9 · lost 1

Grok 3won 8 · lost 1

Grok 4won 8 · lost 1

DeepSeek V3.1won 8 · lost 1

Phi-4 Mini Instructwon 7 · lost 1

Magistral Small 1.2won 7 · lost 1

Nous Hermes 2 Mixtral 8x7B DPOwon 7 · lost 1

Starling LM 7B Betawon 7 · lost 1

DBRX Instructwon 7 · lost 1

Mixtral 8x7B Instructwon 7 · lost 1

GPT-3.5 Turbowon 7 · lost 1

Jamba 1.5 Miniwon 7 · lost 1

Jamba 1.5 Largewon 7 · lost 1

Llama 3.1 70B Instructwon 7 · lost 1

Llama 3.1 405B Instructwon 7 · lost 1

Jamba Large 1.7won 6 · lost 1

Gemma 4 E2Bwon 6 · lost 1

Mercury 2won 9 · lost 2

Llama 3.1 8B Instructwon 8 · lost 2

GPT-4won 8 · lost 2

Gemma 3 4B ITwon 8 · lost 2

GPT-4.1 nanowon 8 · lost 2

NVIDIA Nemotron 3 Super 120B A12Bwon 8 · lost 2

Gemini 2.5 Flashwon 8 · lost 2

Qwen3 8Bwon 7 · lost 2

Llama 3.2 3B Instructwon 7 · lost 2

Command R+won 7 · lost 2

Qwen3 30B A3B Instructwon 7 · lost 2

Gemma 4 E4Bwon 6 · lost 2

Gemma 4 12Bwon 6 · lost 2

Grok Build 0.1won 6 · lost 2

Gemma 2B ITwon 6 · lost 2

Phi-3 Mini 128K Instructwon 6 · lost 2

Phi-3 Mini 4K Instructwon 6 · lost 2

Mistral 7B Instruct v0.2won 6 · lost 2

Granite 3.0 2B Instructwon 6 · lost 2

Granite 3.1 2B Instructwon 6 · lost 2

Gemma 2 2B ITwon 6 · lost 2

Mixtral 8x22B Instructwon 6 · lost 2

Gemma 2 9B ITwon 6 · lost 2

Gemini 1.5 Flashwon 6 · lost 2

QwQ 32Bwon 6 · lost 2

Gemini 1.5 Prowon 6 · lost 2

Gemini 2.0 Flash-Litewon 6 · lost 2

Gemini 2.0 Flashwon 6 · lost 2

Llama 4 Scout Instructwon 8 · lost 3

Gemma 3 12B ITwon 8 · lost 3

Gemma 3 27B ITwon 8 · lost 3

DeepSeek R1won 8 · lost 3

Gemini 2.5 Prowon 8 · lost 3

Gemma 4 31Bwon 8 · lost 3

Command R7Bwon 5 · lost 2

Amazon Nova Prowon 7 · lost 3

GPT-4o miniwon 7 · lost 3

Command Awon 7 · lost 3

O3 Miniwon 7 · lost 3

GPT-4.1 miniwon 7 · lost 3

O4 Miniwon 7 · lost 3

Grok 4.1 Fastwon 7 · lost 3

Llama 3.2 1B Instructwon 6 · lost 3

Mistral Small 3 24B Instructwon 6 · lost 3

Llama 3.3 70B Instructwon 7 · lost 4

Llama 4 Maverick Instructwon 7 · lost 4

Gemma 4 26B A4Bwon 7 · lost 4

Ling 3.0 Flashwon 5 · lost 3

Kimi K2.7 Codewon 5 · lost 3

Ling 3.0 Flash VLwon 5 · lost 3

Phi-3 Small 8K Instructwon 5 · lost 3

Granite 3.0 8B Instructwon 5 · lost 3

Phi-3 Medium 4K Instructwon 5 · lost 3

Llama 3.1 Tulu 3 8Bwon 5 · lost 3

Llama 3 8B Instructwon 5 · lost 3

Claude 3 Haikuwon 5 · lost 3

Llama 3 70B Instructwon 5 · lost 3

Qwen Maxwon 5 · lost 3

Qwen3 Next 80B A3B Thinkingwon 5 · lost 3

Qwen3.5 27Bwon 5 · lost 3

DeepSeek V4 Flashwon 6 · lost 4

Grok 4.3won 6 · lost 4

Qwen3.7 Maxwon 6 · lost 4

Gemini 3.6 Flashwon 6 · lost 4

Granite 3.2 8B Instructwon 4 · lost 3

Gemini 2.5 Flash-Litewon 4 · lost 3

Gemini 3 Prowon 4 · lost 3

Claude Opus 4.6won 4 · lost 3

Granite 3.1 8B Instructwon 5 · lost 4

Amazon Nova Litewon 5 · lost 4

GPT-4owon 6 · lost 5

GPT-5 miniwon 6 · lost 5

DeepSeek V3.2won 6 · lost 5

GLM-4.6won 6 · lost 5

Kimi K2.6won 6 · lost 5

Llama 2 7B Chatwon 4 · lost 4

Llama 2 13B Chatwon 4 · lost 4

Llama 2 70B Chatwon 4 · lost 4

Qwen2 72B Instructwon 4 · lost 4

Claude 3 Sonnetwon 4 · lost 4

GPT-4 Turbowon 4 · lost 4

O1 Miniwon 4 · lost 4

O1won 4 · lost 4

Amazon Nova Microwon 5 · lost 5

Claude 3.5 Haikuwon 5 · lost 5

GPT-4.1won 5 · lost 5

Kimi K2won 5 · lost 5

Mistral Large 4won 5 · lost 5

NVIDIA Nemotron 3 Ultra 550B A55Bwon 5 · lost 5

MiniMax M3won 5 · lost 5

MiMo V2.6 Flashwon 5 · lost 5

Kimi K2.5won 5 · lost 5

MiMo V2.5 Prowon 5 · lost 5

GLM-5.2won 5 · lost 5

Gemini 3.5 Flashwon 5 · lost 5

GPT OSS 120Bwon 5 · lost 6

Qwen3.5 35B A3Bwon 5 · lost 6

GPT-6 Solwon 5 · lost 6

Aya Expanse 8Bwon 4 · lost 5

Aya Expanse 32Bwon 4 · lost 5

Granite 4.0 H Smallwon 4 · lost 5

Claude 3.7 Sonnetwon 4 · lost 5

Gemini 3.8 Flashwon 4 · lost 5

Phi 4won 4 · lost 6

Qwen3 235B A22B Instructwon 4 · lost 6

GPT-6 Lunawon 4 · lost 6

GLM-5.1won 4 · lost 6

GLM-5.3 Flashwon 4 · lost 6

GPT-5.6 Solwon 4 · lost 6

Gemma 2 27B ITwon 3 · lost 5

Llama 3.1 Nemotron 70B Instructwon 3 · lost 5

Qwen2.5 72B Instructwon 3 · lost 5

Claude 3 Opuswon 3 · lost 5

MiniMax M2won 3 · lost 5

Claude 3.5 Sonnetwon 3 · lost 5

Claude Haiku 4.5won 4 · lost 7

DeepSeek V4 Prowon 4 · lost 7

Claude Sonnet 4.6won 3 · lost 6

GPT-5 nanowon 3 · lost 7

GPT-5.6 Lunawon 3 · lost 7

MiMo V2.6 Prowon 3 · lost 7

Qwen3.8 Maxwon 3 · lost 7

Claude Sonnet 4won 3 · lost 8

MiniMax M2.7won 3 · lost 8

GPT-5.1won 3 · lost 8

Claude Opus 4.7won 3 · lost 8

O3won 2 · lost 6

Claude Opus 4won 2 · lost 7

Inklingwon 2 · lost 8

Grok 4.5won 2 · lost 8

GPT-5.6 Terrawon 2 · lost 8

Muse Spark 1.1won 2 · lost 8

Claude Sonnet 4.5won 2 · lost 9

GPT-5.5won 2 · lost 9

Hy3won 1 · lost 9

Claude Sonnet 5won 1 · lost 9

Claude Opus 4.8won 1 · lost 9

GPT-5won 1 · lost 10

GPT-5.4won 1 · lost 10

GPT-5.2won 0 · lost 10

Qwen3.5 397B A17Bwon 0 · lost 10

Grok 4.7won 0 · lost 10

Grok 4.6won 0 · lost 10

Claude Opus 5won 0 · lost 10

Claude Opus 5.5won 0 · lost 11

§ 3 · Sources

Where the numbers come from

5 publications, 10 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10

LMArena Text 1416

GDPval-AA ↗1 measureread 2026-11-10

GDPval-AA 822

AA-Briefcase ↗1 measureread 2026-11-10

AA-Briefcase 497

Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10

Enkrypt · Jailbreak risk 14.1%Enkrypt · Harmful content risk 2.2%Enkrypt · CBRN risk 29.8%Enkrypt · Toxicity risk 3.6%Enkrypt · Bias risk 59.7%Enkrypt · Insecure code risk 7.1%

Vectara Hallucination Leaderboard ↗1 measureread 2026-11-10

Vectara · Factual consistency 88.8%

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