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The LLM benchmark aggregator.

Qwen3.6 35B A3B

Alibaba · 36B · A3B · open weights

Strongest in Knowledge work (#84 of 178), weakest in General intelligence (#132 of 204). Above par in 3 of 14 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.6 Terra and K2 Horizon 375B A23B and ahead of Gemma 4 12B 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.

Agents50.1#118/268
Knowledge work50.1#84/178
Tool use41.3—/81✱
Core abilities46.7#130/204
General intelligence45.3#132/204
Long context47.9—/0✱
Reasoning49—/178✱
Science48.7—/122✱
Expert reasoning45—/0✱
Coding50—/165✱
Agentic coding50.3—/157✱
Code generation49.5—/77✱
Knowledge47.9—/138✱
Factuality46.9—/0✱

§ 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 Qwen3.6 35B A3B, left for the other.

Mistral Medium 3.5won 9 · lost 0
GPT-4o Miniwon 10 · lost 0
Granite 4.2 3Bwon 10 · lost 1
GPT-4.1 Nanowon 9 · lost 1
Mistral Large 3won 8 · lost 1
Command Awon 7 · lost 2
Granite 4.2 8Bwon 8 · lost 3
Claude Haiku 4.5won 7 · lost 3
GPT-4.1 Miniwon 7 · lost 3
Qwen3.5 9Bwon 7 · lost 3
Granite 4.2 30Bwon 9 · lost 4
Nemotron 3 Superwon 9 · lost 4
K2 Horizon 0.9Bwon 6 · lost 3
GPT OSS 120Bwon 6 · lost 3
Grok 4.3won 6 · lost 4
Gemini 3.5 Flash Litewon 6 · lost 4
GPT-5.4 Miniwon 6 · lost 4
GPT-5.4 Nanowon 6 · lost 4
DeepSeek V3won 6 · lost 4
G9v3 39A5Bwon 7 · lost 5
Gemma 4 12Bwon 5 · lost 4
Qwen3.6 Pluswon 5 · lost 5
Kimi K2.6won 5 · lost 5
Gemini 3.1 Prowon 5 · lost 5
K2 Horizon 3.7Bwon 5 · lost 6
Gemini 3.1 Flash Litewon 4 · lost 5
MiniMax M3won 6 · lost 8
Gemini 2.5 Prowon 4 · lost 6
Nemotron 3 Ultrawon 5 · lost 9
Gemma 4 31Bwon 5 · lost 9
Mimo V2.5 Prowon 3 · lost 6
DeepSeek R1won 3 · lost 6
K2 Horizon 32Bwon 4 · lost 8
DeepSeek V3.2won 3 · lost 7
Qwen3.7 Maxwon 3 · lost 7
GPT-5 Miniwon 3 · lost 7
Claude Sonnet 4won 3 · lost 7
Inklingwon 4 · lost 10
K2 Horizon 7Bwon 3 · lost 8
Muse Glimmer-30Bwon 3 · lost 9
Kimi K2won 2 · lost 7
GPT-4.1won 2 · lost 7
Kimi K2.5won 2 · lost 7
Gemini 3 Prowon 2 · lost 7
GLM-4.6won 2 · lost 8
Claude Sonnet 4.5won 2 · lost 8
Claude Opus 4.5won 2 · lost 8
GPT-5.2won 2 · lost 8
DeepSeek V4 Flashwon 2 · lost 9
Qwen3.8 27Bwon 2 · lost 12
GLM-5.3 Flashwon 1 · lost 9
Gemini 2.5 Flashwon 1 · lost 9
Gemini 3.5 Flashwon 1 · lost 9
O4 Miniwon 1 · lost 9
Gemini 3.8 Flashwon 1 · lost 9
Grok 4.5won 1 · lost 9
Grok 4.6won 1 · lost 9
Qwen3.8 Maxwon 1 · lost 9
DeepSeek V4.1 Flashwon 1 · lost 10
GPT-5.6 Lunawon 1 · lost 13
K2 Horizon MoVA 36B A4Bwon 1 · lost 13
Muse Spark 1.2won 0 · lost 9
GPT-5won 0 · lost 9
Grok 4won 0 · lost 9
Claude Sonnet 4.6won 0 · lost 10
Muse Spark 1.1won 0 · lost 10
Gemini 3.6 Flashwon 0 · lost 10
Claude Opus 4.8won 0 · lost 10
O3won 0 · lost 10
Claude Opus 4.7won 0 · lost 10
GPT-5.4won 0 · lost 10
Gemini 3.7 Flashwon 0 · lost 10
GPT-5.5won 0 · lost 10
Claude Fable 5.1won 0 · lost 10
Claude Fable 5won 0 · lost 10
GLM-5.3won 0 · lost 11
DeepSeek V4 Prowon 0 · lost 11
Claude Opus 5won 0 · lost 11
Kimi K3won 0 · lost 11
GPT-5.6 Solwon 0 · lost 11
GLM-5.2won 0 · lost 14
Claude Sonnet 5won 0 · lost 14
K2 Horizon 375B A23Bwon 0 · lost 14
GPT-5.6 Terrawon 0 · lost 14

§ 3 · Sources

Where the numbers come from

4 publications, 12 figures. Every one links to the page it was read from.

Artificial Analysis ↗1 measureread 2026-09-26
Artificial Analysis Intelligence Index 18
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 879
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 711
tau3-Banking 9.3%Terminal-Bench 2.1 44.9%SciCode 35.8%Humanity's Last Exam (without tools) 22.2%GPQA Diamond 84.1%CritPt 0.3%AA-LCR 66.7%AA-Omniscience Accuracy 18.8%AA-Omniscience Non-Hallucination 49.5%

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PublicAI Index badge for Qwen3.6 35B A3B[![PublicAI Index](https://publicai.io/model-index/badge?model=qwen3-6-35b-a3b)](https://publicai.io/model-index/m/qwen3-6-35b-a3b)

✱ 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