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Qwen1.5 72B Chat

Alibaba · 72B

Strongest in Safe-prompt compliance (#42 of 82), weakest in Human preference (#261 of 341). Above par in 3 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 4.5 and GPT-5.1 and ahead of GLM-5.2 and Mimo V2.6 Flash.

§ 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.

Safety50.3−11.2#176/3361/3

Safe-prompt compliance53.5−6.9#42/821/1

Harm refusal50.8−10.8#143/2991/2

Fairness46.2−23.8#169/2991/2

Human preference41−26.5#261/3411/1

§ 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 Qwen1.5 72B Chat, left for the other.

OLMoE 1B-7B Instructwon 4 · lost 0

OLMo 2 13B Instructwon 4 · lost 0

OLMo 2 7B Instructwon 4 · lost 0

Marin 8B Instructwon 4 · lost 0

Llama 3.1 Instruct Turbo (8B)won 4 · lost 0

Smollm2 1.7B Instructwon 5 · lost 0

Zephyr 7B Betawon 5 · lost 0

Mistral 7B Instruct V0.2won 5 · lost 0

Granite 3.0 2B Instructwon 5 · lost 0

Nous Hermes 2 Mixtral 8x7b Dpowon 5 · lost 0

Granite 3.1 2B Instructwon 5 · lost 0

DeepSeek LLM 67B Chatwon 6 · lost 0

DBRX Instructwon 6 · lost 0

GPT-3.5 Turbowon 6 · lost 0

Gemma 2B Itwon 4 · lost 1

Gemma 7B Itwon 4 · lost 1

Llama 3.2 3B Instructwon 4 · lost 1

Starling Lm 7B Betawon 4 · lost 1

Qwen1.5 14B Chatwon 4 · lost 1

Llama 3.1 8B Instructwon 4 · lost 1

Mistral Instruct v0.1 (7B)won 3 · lost 1

Mistral Instruct v0.3 (7B)won 3 · lost 1

Mixtral (8x7B)won 3 · lost 1

Llama 3.1 Instruct Turbo (70B)won 3 · lost 1

Mixtral Instruct (8x22B)won 3 · lost 1

IBM Granite 4.0 Micro (with guardian)won 3 · lost 1

Mistral Small 3won 3 · lost 1

Palmyra Medwon 3 · lost 1

IBM Granite 4.0 Microwon 3 · lost 1

DeepSeek R1 (hide reasoning)won 3 · lost 1

IBM Granite 3.3 8B Instructwon 3 · lost 1

Llama 3 8B Instructwon 4 · lost 2

Command Rwon 4 · lost 2

Command R Pluswon 4 · lost 2

Llama 4 Scout Instructwon 4 · lost 2

Llama 3.2 1B Instructwon 3 · lost 2

Phi 3 Mini 128k Instructwon 3 · lost 2

Phi 3 Mini 4k Instructwon 3 · lost 2

Phi 3 Small 8k Instructwon 3 · lost 2

Granite 3.0 8B Instructwon 3 · lost 2

Phi 3 Medium 4k Instructwon 3 · lost 2

Gemma 2 2B Itwon 3 · lost 2

Granite 3.1 8B Instructwon 3 · lost 2

Llama 3.1 Tulu 3 8Bwon 3 · lost 2

C4ai Aya Expanse 8Bwon 3 · lost 2

Jamba 1.5 Miniwon 3 · lost 2

Mistral Small 24B Instructwon 3 · lost 2

Jamba 1.5 Largewon 3 · lost 2

Gemma 3 4B Itwon 3 · lost 2

Magistral Mediumwon 3 · lost 2

QwQ 32Bwon 3 · lost 2

Command Awon 3 · lost 2

Mistral Smallwon 3 · lost 2

NVIDIA Nemotron 3 Super 120B A12Bwon 3 · lost 2

Qwen3 30B A3B Instructwon 3 · lost 2

GLM-4.6won 3 · lost 2

Grok 4.1 Fastwon 3 · lost 2

DeepSeek V4 Flashwon 3 · lost 2

Grok 4.3won 3 · lost 2

Gemma 4 31Bwon 3 · lost 2

Mimo V2.6 Flashwon 3 · lost 2

GLM-5.2won 3 · lost 2

IBM Granite 4.0 Small (with guardian)won 2 · lost 2

Llama 3.1 Instruct Turbo (405B)won 2 · lost 2

Gemini 2.0 Prowon 2 · lost 2

Olmo 2 32B Instructwon 3 · lost 3

Gemma 2 9B Itwon 2 · lost 3

Gemma 3 12B Itwon 2 · lost 3

GLM-4.5won 2 · lost 3

DeepSeek V3.2won 2 · lost 3

Gemma 4 26B A4Bwon 2 · lost 3

MiniMax M3won 2 · lost 3

Kimi K2.5won 2 · lost 3

Kimi K2.6won 2 · lost 3

Mimo V2.5 Prowon 2 · lost 3

Qwen3.7 Maxwon 2 · lost 3

Gemini 3.5 Flashwon 2 · lost 3

Gemini 3.6 Flashwon 2 · lost 3

Claude 3 Haikuwon 2 · lost 4

Gemini 1.5 Prowon 2 · lost 4

Gemini 2.0 Flash Litewon 2 · lost 4

DeepSeek V3won 2 · lost 4

Grok 3won 2 · lost 4

Grok 4won 2 · lost 4

DeepSeek R1won 2 · lost 4

Gemini 2.5 Prowon 2 · lost 4

Qwen 2.5 Instruct Turbo (7B)won 1 · lost 3

IBM Granite 4.0 Smallwon 1 · lost 3

Qwen3 235B A22B Throughputwon 1 · lost 3

Palmyra X5won 1 · lost 3

Nova Microwon 1 · lost 4

Nova Litewon 1 · lost 4

C4ai Aya Expanse 32Bwon 1 · lost 4

GPT-4won 1 · lost 4

Nova Prowon 1 · lost 4

Mistral Largewon 1 · lost 4

Gemma 3 27B Itwon 1 · lost 4

Qwen3 Vl 235B A22B Instructwon 1 · lost 4

Qwen3.5 122B A10Bwon 1 · lost 4

GPT-6 Lunawon 1 · lost 4

GPT-6 Solwon 1 · lost 4

DeepSeek V4 Prowon 1 · lost 4

GLM-5.3 Flashwon 1 · lost 4

GPT-5.4won 1 · lost 4

Mimo V2.6 Prowon 1 · lost 4

Gemini 3.8 Flashwon 1 · lost 4

Claude 3 Sonnetwon 1 · lost 5

Gemini 1.5 Flashwon 1 · lost 5

GPT OSS 20Bwon 1 · lost 5

Claude 3 Opuswon 1 · lost 5

GPT-4.1 Nanowon 1 · lost 5

GPT OSS 120Bwon 1 · lost 5

Gemini 2.0 Flashwon 1 · lost 5

O3 Miniwon 1 · lost 5

Grok 3 Miniwon 1 · lost 5

GLM-4.5 Airwon 1 · lost 5

Claude 3.5 Sonnetwon 1 · lost 5

Gemini 2.5 Flash Litewon 1 · lost 5

Gemini 2.5 Flashwon 1 · lost 5

Claude Haiku 4.5won 1 · lost 5

GPT-4.5won 1 · lost 5

Gemini 3 Prowon 1 · lost 5

Palmyra Xwon 0 · lost 4

Palmyra Finwon 0 · lost 4

Qwen 2.5 Instruct Turbo (72B)won 0 · lost 4

Phi 4won 0 · lost 5

Gemma 2 27B Itwon 0 · lost 5

Qwen2.5 72B Instructwon 0 · lost 5

Qwen Maxwon 0 · lost 5

Claude 3.5 Haikuwon 0 · lost 5

MiniMax M2won 0 · lost 5

Qwen3.5 35B A3Bwon 0 · lost 5

Qwen3.5 27Bwon 0 · lost 5

MiniMax M2.7won 0 · lost 5

GPT-5.2won 0 · lost 5

Grok 4.7won 0 · lost 5

Inklingwon 0 · lost 5

Qwen3.5 397B A17Bwon 0 · lost 5

Grok 4.6won 0 · lost 5

GPT-5.6 Lunawon 0 · lost 5

Hy3won 0 · lost 5

Claude Sonnet 5won 0 · lost 5

GLM-5.1won 0 · lost 5

Grok 4.5won 0 · lost 5

GPT-5.6 Terrawon 0 · lost 5

Claude Sonnet 4.6won 0 · lost 5

Qwen3.8 Maxwon 0 · lost 5

Claude Opus 4.8won 0 · lost 5

GPT-5.5won 0 · lost 5

GPT-5.6 Solwon 0 · lost 5

Claude Opus 5won 0 · lost 5

Muse Spark 1.1won 0 · lost 5

Claude Opus 4.7won 0 · lost 5

Claude Opus 4.6won 0 · lost 5

Claude Opus 5.5won 0 · lost 5

Qwen2 72B Instructwon 0 · lost 6

Llama 3 70B Instructwon 0 · lost 6

GPT-4o Miniwon 0 · lost 6

GPT-4 Turbowon 0 · lost 6

Llama 4 Maverick Instructwon 0 · lost 6

GPT-4owon 0 · lost 6

O1 Miniwon 0 · lost 6

GPT-5 Nanowon 0 · lost 6

Qwen3 Next 80B A3B Thinkingwon 0 · lost 6

GPT-4.1 Miniwon 0 · lost 6

Claude 3.7 Sonnetwon 0 · lost 6

GPT-5 Miniwon 0 · lost 6

O4 Miniwon 0 · lost 6

Claude Sonnet 4won 0 · lost 6

O1won 0 · lost 6

GPT-4.1won 0 · lost 6

Kimi K2won 0 · lost 6

Qwen3 235B A22B Instructwon 0 · lost 6

Claude Opus 4won 0 · lost 6

O3won 0 · lost 6

GPT-5won 0 · lost 6

GPT-5.1won 0 · lost 6

Claude Sonnet 4.5won 0 · lost 6

§ 3 · Sources

Where the numbers come from

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

LMArena Text ↗1 measureread 2026-09-27

LMArena Text 1234

HELM Safety ↗5 measuresread 2026-09-27

HELM Safety · HarmBench 64.8%HELM Safety · SimpleSafetyTests 99%HELM Safety · Anthropic Red Team 99%HELM Safety · BBQ 84.6%HELM Safety · XSTest 95.7%

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