Request a pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Qwen 3.5 Plus

Alibaba

Strongest in Medical (#28 of 140), weakest in Safety (#201 of 337). Above par in 9 of 13 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.5 and Claude Opus 5 and ahead of Kimi K2.6 and Qwen3.5 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.

Knowledge56.2#36/138
Academic knowledge57.4#33/123
Reasoning55.2#40/178
Science57.9#39/122
Mathematics55.3#44/140
Professional54#42/168
Medical56.2#28/140
Legal54#45/151
Finance53.7#64/151
Coding46#110/165
Agentic coding45.4#103/157
Safety49.4#201/337
Factual grounding48.2#65/101

§ 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 Qwen 3.5 Plus, left for the other.

Grok 2won 8 · lost 0
Mistral Medium 3.1won 8 · lost 0
Mercury 2.5won 8 · lost 0
Mistral Small 3.1won 9 · lost 0
Magistral Small 1.2won 9 · lost 0
Magistral Medium 1.2won 9 · lost 0
Jamba 1.6 Miniwon 10 · lost 0
Jamba 1.6 Largewon 10 · lost 0
Laguna XS.2won 10 · lost 0
Nemotron 3 Ultrawon 10 · lost 0
Laguna M.1won 10 · lost 0
Ling 3.0 Flashwon 11 · lost 0
Mistral Medium 3.5won 11 · lost 0
Mistral Large 3won 13 · lost 0
Grok 4.1 Fastwon 12 · lost 1
Kimi K2.5won 12 · lost 1
Grok 4.3won 11 · lost 1
GPT-4.1 Nanowon 11 · lost 1
Gemini 2.0 Flashwon 11 · lost 1
Llama 4 Scout Instructwon 10 · lost 1
GPT-4o Miniwon 10 · lost 1
Qwen3 Maxwon 10 · lost 1
Gemini 3.5 Flash Litewon 10 · lost 1
Mistral Smallwon 9 · lost 1
Gemini 1.5 Prowon 9 · lost 1
GPT OSS 20Bwon 9 · lost 1
GLM-4.5won 9 · lost 1
Grok 3 Miniwon 9 · lost 1
Command R Pluswon 8 · lost 1
Gemini 1.5 Flashwon 8 · lost 1
Grok 4 Fastwon 11 · lost 2
Gemini 3.1 Flash Litewon 11 · lost 2
Command Awon 11 · lost 2
GPT-4owon 11 · lost 2
Claude Haiku 4.5won 11 · lost 2
GPT OSS 120Bwon 11 · lost 2
GLM-4.6won 11 · lost 2
DeepSeek V3won 11 · lost 2
GPT-5.4 Miniwon 10 · lost 2
Inklingwon 10 · lost 2
Kimi K2 Thinkingwon 10 · lost 2
DeepSeek R1won 10 · lost 2
Grok 3won 9 · lost 2
Gemini 2.5 Flash Litewon 9 · lost 2
GPT-5 Nanowon 9 · lost 2
Claude Opus 4.1won 9 · lost 2
Mimo V2.5won 9 · lost 2
MiniMax M2.1won 9 · lost 2
Mistral Largewon 8 · lost 2
GPT-5.4 Nanowon 10 · lost 3
DeepSeek V3.2won 10 · lost 3
Kimi K2won 10 · lost 3
Claude Opus 4won 10 · lost 3
MiniMax M2.7won 9 · lost 3
GPT-4.1 Miniwon 9 · lost 3
Mimo V2.5 Prowon 9 · lost 3
DeepSeek V4 Flashwon 9 · lost 3
Grok 4.20won 8 · lost 3
Qwen3.6 Pluswon 8 · lost 3
Claude 3.5 Haikuwon 8 · lost 3
MiniMax M2.5won 8 · lost 3
Inkling Smallwon 8 · lost 3
GLM-4.7won 8 · lost 3
Claude Sonnet 4won 9 · lost 4
Gemini 2.5 Flashwon 9 · lost 4
O4 Miniwon 9 · lost 4
GPT-6 Lunawon 6 · lost 3
Qwen3.7 Maxwon 8 · lost 4
GLM-5.1won 8 · lost 4
Claude 3.7 Sonnetwon 8 · lost 4
GLM-5.2won 8 · lost 4
O3 Miniwon 8 · lost 4
Claude 3.5 Sonnetwon 7 · lost 4
Qwen3.8 27Bwon 7 · lost 4
GPT-5 Miniwon 8 · lost 5
GLM-5won 8 · lost 5
Gemma 4 31Bwon 6 · lost 4
MiniMax M3won 7 · lost 5
O1won 7 · lost 5
GPT-5.6 Lunawon 7 · lost 5
DeepSeek V4won 6 · lost 5
Qwen3.5 Flashwon 7 · lost 6
Kimi K2.6won 7 · lost 6
DeepSeek V4.1 Flashwon 5 · lost 5
Grok 4won 6 · lost 6
O3won 6 · lost 6
Gemini 3 Flashwon 6 · lost 7
Gemini 2.5 Prowon 6 · lost 7
GPT-4.1won 6 · lost 7
GLM-5.3won 5 · lost 6
Gemini 3.6 Flashwon 5 · lost 7
GLM-5.3 Flashwon 5 · lost 7
GPT-6 Solwon 4 · lost 6
Claude Opus 4.5won 5 · lost 8
GPT-5.1won 5 · lost 8
GPT-5won 5 · lost 8
Mimo V2.6 Flashwon 3 · lost 5
Hy4won 3 · lost 5
Gemini 3.5 Flashwon 4 · lost 8
GPT-5.6 Terrawon 4 · lost 8
Claude Sonnet 4.5won 4 · lost 9
Claude Sonnet 4.6won 4 · lost 9
DeepSeek V4 Prowon 4 · lost 9
Mimo V2.6 Prowon 2 · lost 6
Grok 4.5won 3 · lost 9
Gemini 3 Prowon 3 · lost 10
GPT-5.2won 3 · lost 10
GPT-5.4won 3 · lost 10
Grok 4.7won 2 · lost 7
Gemini 3.8 Flashwon 2 · lost 10
Qwen3.8 Maxwon 2 · lost 10
Muse Spark 1.1won 2 · lost 10
Grok 4.6won 2 · lost 10
Gemini 3.1 Prowon 2 · lost 11
Claude Opus 4.6won 2 · lost 11
GPT-5.6 Solwon 2 · lost 11
Muse Spark 1.2won 1 · lost 9
GPT-6 Astrawon 1 · lost 9
Gemini 3.7 Flashwon 1 · lost 10
Kimi K3won 1 · lost 10
Claude Sonnet 5won 1 · lost 11
Claude Opus 4.7won 1 · lost 12
Claude Opus 5.5won 0 · lost 9
Muse Sparkwon 0 · lost 11
Claude Fable 5won 0 · lost 11
Claude Fable 5.1won 0 · lost 11
Claude Opus 4.8won 0 · lost 12
Claude Opus 5won 0 · lost 12
GPT-5.5won 0 · lost 13

§ 3 · Sources

Where the numbers come from

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

Vals.ai ↗10 measuresread 2026-09-26
Vals · CaseLaw 59.7%Vals · LegalBench 85.1%Vals · CorpFin 65.31%Vals · MortgageTax 60.77%Vals · MedQA 95.21%Vals · SWE-bench Verified 71.2% (Mini-SWE-agent)Vals · Vibe Code Bench 15.74% (OpenHands)Vals · GPQA Diamond 87.37%Vals · MMLU Pro 87.18%Vals · AIME 86.04%
Vectara · Factual consistency 89.3%

Badge

PublicAI Index badge for Qwen 3.5 Plus[![PublicAI Index](https://publicai.io/model-index/badge?model=qwen-3-5-plus)](https://publicai.io/model-index/m/qwen-3-5-plus)