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The LLM benchmark aggregator.

Qwen3.5 9B

Alibaba · 9.7B · open weights

Strongest in Knowledge work (#109 of 178, on 1 of its 2 boards), weakest in Agents (#159 of 268). Above par in 3 of 11 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.6 Terra and Claude Opus 5 and ahead of MiniMax M3 and G9v3 39A5B.

§ 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.

Agents46.5#159/268
Knowledge work44.7#109/178
Tool use39.4—/81✱
Core abilities49—/204✱
Long context46.1—/0✱
Reasoning52.5—/178✱
Mathematics54.5—/140✱
Expert reasoning55.7—/0✱
Coding49—/165✱
Agentic coding49.6—/157✱
Code generation44.3—/77✱

§ 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 9B, left for the other.

Qwen3.5 0.8Bwon 7 · lost 0
Mercury 2.5won 7 · lost 0
Mistral Large 3won 7 · lost 0
GPT-4o Miniwon 8 · lost 0
Granite 4.2 3Bwon 9 · lost 1
GPT-4.1 Nanowon 7 · lost 1
Nemotron 3 Ultrawon 8 · lost 2
Qwen3.5 4Bwon 6 · lost 2
G9v3 3Bwon 6 · lost 2
Qwen3.6 27Bwon 6 · lost 2
Grok 4.3won 6 · lost 2
GPT-5.4 Miniwon 6 · lost 2
Kimi K2.7 Codewon 6 · lost 2
K2 Horizon 0.9Bwon 6 · lost 2
Grok Build 0.1won 6 · lost 2
GPT-4.1 Miniwon 6 · lost 2
DeepSeek V3won 6 · lost 2
Granite 4.2 8Bwon 8 · lost 3
Command Awon 5 · lost 2
Mistral Medium 3.5won 5 · lost 2
Inklingwon 7 · lost 4
Gemini 3.5 Flash Litewon 5 · lost 3
GPT-5.4 Nanowon 5 · lost 3
Qwen3.6 Pluswon 5 · lost 3
Claude Haiku 4.5won 5 · lost 3
Qwen3.5 2Bwon 4 · lost 3
GPT OSS 120Bwon 4 · lost 3
Mimo V2.5 Prowon 4 · lost 3
Gemini 3.1 Flash Litewon 4 · lost 3
Nemotron 3 Superwon 5 · lost 4
G9v3 39A5Bwon 5 · lost 4
MiniMax M3won 6 · lost 5
Kimi K2.6won 4 · lost 4
Qwen3.7 Maxwon 4 · lost 4
DeepSeek R1won 4 · lost 4
Granite 4.2 30Bwon 5 · lost 5
Gemma 4 12Bwon 5 · lost 5
K2 Horizon 32Bwon 4 · lost 5
O3 Miniwon 3 · lost 4
Kimi K2.5won 3 · lost 4
K2 Horizon 3.7Bwon 4 · lost 6
Gemma 4 31Bwon 4 · lost 6
GPT-6 Lunawon 3 · lost 5
GLM-5.3 Flashwon 3 · lost 5
GLM-4.6won 3 · lost 5
DeepSeek V3.2won 3 · lost 5
Claude Sonnet 4.5won 3 · lost 5
Qwen3.8 Flash Nextwon 3 · lost 5
Gemini 2.5 Prowon 3 · lost 5
GPT-5 Miniwon 3 · lost 5
Gemini 3.1 Prowon 3 · lost 5
Qwen3.6 35B A3Bwon 3 · lost 7
Kimi K2won 2 · lost 5
GPT-4.1won 2 · lost 5
Gemini 3 Prowon 2 · lost 5
GLM-5.2won 3 · lost 8
K2 Horizon 7Bwon 3 · lost 8
Qwen3.8 27Bwon 3 · lost 8
Claude Sonnet 4.6won 2 · lost 6
Muse Spark 1.1won 2 · lost 6
Gemini 2.5 Flashwon 2 · lost 6
Claude Opus 4.5won 2 · lost 6
Gemini 3.8 Flashwon 2 · lost 6
Claude Sonnet 4won 2 · lost 6
Grok 4.5won 2 · lost 6
Grok 4.7won 2 · lost 6
Qwen3.8 Maxwon 2 · lost 6
DeepSeek V4 Flashwon 2 · lost 7
GLM-5.3won 2 · lost 7
Muse Glimmer-30Bwon 2 · lost 7
Kimi K3won 2 · lost 7
K2 Horizon 375B A23Bwon 2 · lost 8
GPT-5.6 Lunawon 2 · lost 9
Gemini 3.6 Flashwon 1 · lost 7
Gemini 3.5 Flashwon 1 · lost 7
O4 Miniwon 1 · lost 7
O3won 1 · lost 7
Muse Spark 1.2won 1 · lost 7
Grok 4.6won 1 · lost 7
DeepSeek V4 Prowon 1 · lost 8
DeepSeek V4.1 Flashwon 1 · lost 8
GPT-5.6 Solwon 1 · lost 8
Claude Sonnet 5won 1 · lost 10
GPT-5won 0 · lost 7
Grok 4won 0 · lost 7
Mimo V2.6 Prowon 0 · lost 7
GPT-5.2won 0 · lost 8
Claude Opus 4.8won 0 · lost 8
Claude Opus 4.7won 0 · lost 8
GPT-5.4won 0 · lost 8
Gemini 3.7 Flashwon 0 · lost 8
GPT-6 Solwon 0 · lost 8
Claude Opus 5.5won 0 · lost 8
Muse Spark 1.3won 0 · lost 8
GPT-5.5won 0 · lost 8
Claude Fable 5.1won 0 · lost 8
GPT-6 Astrawon 0 · lost 8
Claude Fable 5won 0 · lost 8
Claude Opus 5won 0 · lost 9
GPT-5.6 Terrawon 0 · lost 11

§ 3 · Sources

Where the numbers come from

2 publications, 8 figures. Every one links to the page it was read from.

GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 407
tau3-Banking 7%Terminal-Bench 2.1 29.2%SciCode 27.5%AA-LCR 65.3%SWE-bench Verified 50.8%HMMT Feb 2026 65.7%HLE 14.9%

Badge

PublicAI Index badge for Qwen3.5 9B[![PublicAI Index](https://publicai.io/model-index/badge?model=qwen3-5-9b)](https://publicai.io/model-index/m/qwen3-5-9b)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-09-26 · the full index · JSON API