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Qwen3.5 397B A17B

Alibaba · 403B · A17B · open weights

Strongest in Fairness (#16 of 300, on 1 of its 2 boards), weakest in Jailbreak resistance (#173 of 272). Above par in 10 of 12 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5 and Claude Opus 5.5 and ahead of O4 Mini and Phi 4.

§ 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.

Safety56.7#27/337
Fairness68.2#16/300
Secure code63.7#24/274
Toxicity avoidance55.3#97/272
Harm refusal52.5#119/300
Jailbreak resistance51.3#173/272
Core abilities52.7#64/204
General intelligence53.5#70/204
Human preference61.1#71/342
Human preference61.1#71/342
Agents47.9#141/268
Knowledge work47.2#95/178

§ 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 397B A17B, left for the other.

Magistral Smallwon 8 · lost 0
Jamba Mini 1.7won 8 · lost 0
Jamba Large 1.7won 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
Gemma 2 2B Itwon 8 · lost 0
Jamba 1.5 Miniwon 8 · lost 0
Qwen3.5 27Bwon 8 · lost 0
Gemma 4 12Bwon 9 · lost 0
Llama 3.1 8B Instructwon 10 · lost 0
Magistral Mediumwon 10 · lost 0
GLM-4.5won 10 · lost 0
DeepSeek V3won 12 · lost 0
Qwen3.5 122B A10Bwon 12 · lost 0
GPT OSS 20Bwon 11 · lost 1
Gemma 3 27B Itwon 11 · lost 1
Gemma 3 4B Itwon 10 · lost 1
Gemini 2.5 Flashwon 10 · lost 1
Gemini 2.0 Flashwon 9 · lost 1
Gemma 4 26B A4Bwon 9 · lost 1
Grok 4.1 Fastwon 8 · lost 1
Phi-4 Mini Instructwon 7 · lost 1
Gemma 4 E2Bwon 7 · lost 1
Gemma 4 E4Bwon 7 · lost 1
Qwen3 8Bwon 7 · lost 1
Starling Lm 7B Betawon 7 · lost 1
DBRX Instructwon 7 · lost 1
GPT-3.5 Turbowon 7 · lost 1
Command R Pluswon 7 · lost 1
Jamba 1.5 Largewon 7 · lost 1
Gemini 1.5 Flashwon 7 · lost 1
QwQ 32Bwon 7 · lost 1
Gemini 2.0 Flash Litewon 7 · lost 1
Gemini 2.5 Flash Litewon 7 · lost 1
Llama 4 Scout Instructwon 10 · lost 2
GPT-4.1 Nanowon 10 · lost 2
GLM-4.6won 10 · lost 2
DeepSeek V3.2won 10 · lost 2
DeepSeek V4 Flashwon 10 · lost 2
Grok 4.3won 10 · lost 2
Command Awon 9 · lost 2
Mistral Smallwon 9 · lost 2
Kimi K2won 9 · lost 2
Kimi K2.7 Codewon 8 · lost 2
Grok Build 0.1won 8 · lost 2
Ling 3.0 Flash VLwon 8 · lost 2
GPT-4won 8 · lost 2
Llama 3 70B Instructwon 8 · lost 2
Gemma 3 12B Itwon 8 · lost 2
O3 Miniwon 8 · lost 2
Grok 3won 8 · lost 2
Llama 3.2 3B Instructwon 7 · lost 2
Nova Microwon 7 · lost 2
Nova Prowon 7 · lost 2
Mistral Largewon 7 · lost 2
Qwen3 30B A3B Instructwon 7 · lost 2
Gemma 2B Itwon 6 · lost 2
Phi 3 Mini 4k Instructwon 6 · lost 2
Llama 3 8B Instructwon 6 · lost 2
Nova Litewon 6 · lost 2
Gemma 2 9B Itwon 6 · lost 2
O1 Miniwon 6 · lost 2
Gemini 1.5 Prowon 6 · lost 2
Mimo V2.6 Flashwon 6 · lost 2
GPT-4o Miniwon 9 · lost 3
GPT-4.1 Miniwon 9 · lost 3
DeepSeek R1won 9 · lost 3
MiniMax M3won 9 · lost 3
GPT-6 Lunawon 9 · lost 3
Grok 4won 8 · lost 3
GPT-4.1won 8 · lost 3
Claude 3 Haikuwon 7 · lost 3
Qwen3.5 35B A3Bwon 7 · lost 3
Llama 3.2 1B Instructwon 6 · lost 3
Claude 3.7 Sonnetwon 6 · lost 3
GPT OSS 120Bwon 8 · lost 4
Gemini 2.5 Prowon 8 · lost 4
Gemma 4 31Bwon 8 · lost 4
Kimi K2.6won 8 · lost 4
Qwen3.7 Maxwon 8 · lost 4
GLM-5.2won 8 · lost 4
Gemini 3.5 Flashwon 8 · lost 4
Gemini 3.6 Flashwon 8 · lost 4
Ling 3.0 Flashwon 5 · lost 3
Kimi K2 Thinkingwon 5 · lost 3
Llama 3.1 Tulu 3 8Bwon 5 · lost 3
C4ai Aya Expanse 8Bwon 5 · lost 3
Qwen2 72B Instructwon 5 · lost 3
C4ai Aya Expanse 32Bwon 5 · lost 3
Claude 3 Sonnetwon 5 · lost 3
Qwen2.5 72B Instructwon 5 · lost 3
Qwen Maxwon 5 · lost 3
GPT-4owon 5 · lost 3
O1won 5 · lost 3
Claude Haiku 4.5won 7 · lost 5
Mimo V2.5 Prowon 7 · lost 5
Phi 4won 5 · lost 4
O4 Miniwon 6 · lost 5
Gemma 2 27B Itwon 4 · lost 4
Claude 3 Opuswon 4 · lost 4
GPT-4 Turbowon 4 · lost 4
Claude 3.5 Sonnetwon 4 · lost 4
Claude Opus 4.6won 4 · lost 4
Claude 3.5 Haikuwon 5 · lost 5
MiniMax M2won 5 · lost 5
Claude Opus 4won 5 · lost 5
Claude Sonnet 4.6won 5 · lost 5
Kimi K2.5won 6 · lost 6
GPT-5.6 Lunawon 6 · lost 6
GPT-6 Solwon 6 · lost 6
GLM-5.3 Flashwon 6 · lost 6
Gemini 3.8 Flashwon 6 · lost 6
O3won 5 · lost 6
GPT-5.2won 5 · lost 6
GPT-5 Miniwon 5 · lost 7
Claude Sonnet 4won 5 · lost 7
Inklingwon 5 · lost 7
Hy3won 5 · lost 7
Claude Sonnet 4.5won 5 · lost 7
DeepSeek V4 Prowon 5 · lost 7
Muse Spark 1.1won 5 · lost 7
GLM-5.1won 4 · lost 6
Gemini 3 Prowon 3 · lost 5
GPT-5 Nanowon 4 · lost 7
GPT-5won 4 · lost 8
Qwen3.8 Maxwon 4 · lost 8
Mimo V2.6 Prowon 4 · lost 8
GPT-5.6 Solwon 4 · lost 8
Grok 4.5won 3 · lost 9
GPT-5.6 Terrawon 3 · lost 9
GPT-5.4won 3 · lost 9
GPT-5.5won 3 · lost 9
Claude Opus 4.7won 3 · lost 9
MiniMax M2.7won 2 · lost 8
GPT-5.1won 2 · lost 8
Grok 4.7won 2 · lost 10
Claude Sonnet 5won 2 · lost 10
Grok 4.6won 1 · lost 11
Claude Opus 4.8won 1 · lost 11
Claude Opus 5.5won 1 · lost 11
Claude Opus 5won 0 · lost 12

§ 3 · Sources

Where the numbers come from

6 publications, 11 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1442
Artificial Analysis ↗1 measureread 2026-09-26
Artificial Analysis Intelligence Index 18
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 780
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 561
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 73.7%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 11.7%Enkrypt · Harmful content risk 2.8%Enkrypt · CBRN risk 24.5%Enkrypt · Toxicity risk 2.6%Enkrypt · Bias risk 49.6%Enkrypt · Insecure code risk 5.8%

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