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Qwen3.5 0.8B

Alibaba · 0.8B

Strongest in Knowledge work (#172 of 177, on 1 of its 2 boards), weakest in Agents (#262 of 267). Above par in 0 of 8 scopes. Among the models it meets almost everywhere, it finishes behind Qwen3.8 27B and Claude Sonnet 5 and ahead of Mistral Large and Mercury 2.5.

§ 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.

Agents37.2#262/267
Knowledge work30.8#172/177
Tool use36.6—/81✱
Reasoning44.6—/178✱
Mathematics40.6—/140✱
Science31.5—/122✱
Coding45.6—/164✱
Code generation38.7—/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 0.8B, left for the other.

GPT-4owon 4 · lost 1
GPT-4o Miniwon 5 · lost 2
Mistral Medium 3.5won 4 · lost 2
Qwen3.6 27Bwon 4 · lost 2
Command Awon 4 · lost 2
Grok Build 0.1won 4 · lost 2
Mistral Small 3.1won 3 · lost 2
Mercury 2.5won 3 · lost 2
Mistral Largewon 3 · lost 2
Llama 4 Scout Instructwon 3 · lost 3
Claude 3.5 Haikuwon 3 · lost 3
MiniMax M3won 4 · lost 4
GPT-4.1 Nanowon 3 · lost 4
Gemini 3.5 Flash Litewon 3 · lost 4
Grok 4.3won 3 · lost 4
GPT-5.4 Miniwon 3 · lost 4
Claude 3.5 Sonnetwon 2 · lost 3
Mistral Smallwon 2 · lost 3
Inklingwon 3 · lost 5
Mistral Large 3won 2 · lost 4
DeepSeek V3won 2 · lost 5
Nemotron 3 Ultrawon 2 · lost 5
GPT-5.4 Nanowon 2 · lost 5
GLM-5.3 Flashwon 2 · lost 5
K2 Horizon 0.9Bwon 2 · lost 6
Ling 3.0 Flashwon 1 · lost 4
Gemma 4 E4Bwon 1 · lost 5
Gemini 3.1 Flash Litewon 1 · lost 5
GPT OSS 120Bwon 1 · lost 5
Inkling Smallwon 1 · lost 5
MiniMax M2.7won 1 · lost 5
Mimo V2.5won 1 · lost 5
Kimi K2.7 Codewon 1 · lost 5
Kimi K2.5won 1 · lost 5
GPT-4.1won 1 · lost 5
Grok 4.1 Fastwon 1 · lost 5
OpenBMB 1Bwon 1 · lost 6
GPT-4.1 Miniwon 1 · lost 6
Qwen3.5 4Bwon 1 · lost 6
GPT-5 Miniwon 1 · lost 6
G9v3 3Bwon 1 · lost 6
Qwen3.6 Pluswon 1 · lost 6
Qwen3.7 Maxwon 1 · lost 6
Grok 4.5won 1 · lost 6
Claude Haiku 4.5won 1 · lost 6
GLM-4.6won 1 · lost 6
Claude Opus 4.6won 0 · lost 5
Grok 3 Miniwon 0 · lost 5
Claude Opus 4won 0 · lost 5
Magistral Small 1.2won 0 · lost 5
Magistral Medium 1.2won 0 · lost 5
GPT OSS 20Bwon 0 · lost 5
Claude 3.7 Sonnetwon 0 · lost 5
Gemini 2.5 Flash Litewon 0 · lost 5
GPT-5 Nanowon 0 · lost 5
Mimo V2.6 Prowon 0 · lost 5
DeepSeek R1won 0 · lost 6
Gemma 4 12Bwon 0 · lost 6
Nemotron 3 Superwon 0 · lost 6
Muse Sparkwon 0 · lost 6
G9v3 39A5Bwon 0 · lost 6
K2 Horizon 32Bwon 0 · lost 6
GPT-5.1won 0 · lost 6
Muse Glimmer-30Bwon 0 · lost 6
GPT-5won 0 · lost 6
GLM-4.7won 0 · lost 6
Mimo V2.5 Prowon 0 · lost 6
GLM-5.1won 0 · lost 6
Kimi K2won 0 · lost 6
GPT-6 Lunawon 0 · lost 6
Grok 4won 0 · lost 6
Muse Spark 1.2won 0 · lost 6
GPT-6 Solwon 0 · lost 6
Gemini 3 Prowon 0 · lost 6
GPT-6 Astrawon 0 · lost 6
Qwen3.8 Flash Nextwon 0 · lost 6
Muse Spark 1.3won 0 · lost 6
Grok 4.7won 0 · lost 6
Claude Opus 5.5won 0 · lost 6
O3 Miniwon 0 · lost 7
Gemini 2.5 Prowon 0 · lost 7
Granite 4.2 8Bwon 0 · lost 7
Gemma 4 31Bwon 0 · lost 7
Qwen3.5 9Bwon 0 · lost 7
Gemini 3.1 Prowon 0 · lost 7
Granite 4.2 30Bwon 0 · lost 7
Claude Sonnet 4won 0 · lost 7
Qwen3.6 35B A3Bwon 0 · lost 7
Gemini 3.5 Flashwon 0 · lost 7
O3won 0 · lost 7
K2 Horizon 7Bwon 0 · lost 7
DeepSeek V3.2won 0 · lost 7
Gemini 3.6 Flashwon 0 · lost 7
GPT-5.4won 0 · lost 7
Kimi K2.6won 0 · lost 7
O4 Miniwon 0 · lost 7
GPT-5.2won 0 · lost 7
Gemini 2.5 Flashwon 0 · lost 7
Gemini 3.7 Flashwon 0 · lost 7
GPT-5.5won 0 · lost 7
Claude Sonnet 4.5won 0 · lost 7
Muse Spark 1.1won 0 · lost 7
Claude Sonnet 4.6won 0 · lost 7
Claude Opus 4.7won 0 · lost 7
Gemini 3.8 Flashwon 0 · lost 7
K2 Horizon 375B A23Bwon 0 · lost 7
DeepSeek V4 Flashwon 0 · lost 7
DeepSeek V4 Prowon 0 · lost 7
Claude Opus 4.8won 0 · lost 7
DeepSeek V4.1 Flashwon 0 · lost 7
GPT-5.6 Solwon 0 · lost 7
Kimi K3won 0 · lost 7
Claude Opus 4.5won 0 · lost 7
GLM-5.3won 0 · lost 7
Grok 4.6won 0 · lost 7
Qwen3.8 Maxwon 0 · lost 7
Claude Fable 5.1won 0 · lost 7
Claude Fable 5won 0 · lost 7
Claude Opus 5won 0 · lost 7
Granite 4.2 3Bwon 0 · lost 8
Qwen3.5 2Bwon 0 · lost 8
K2 Horizon 3.7Bwon 0 · lost 8
GLM-5.2won 0 · lost 8
GPT-5.6 Terrawon 0 · lost 8
GPT-5.6 Lunawon 0 · lost 8
Claude Sonnet 5won 0 · lost 8
Qwen3.8 27Bwon 0 · lost 8

§ 3 · Sources

Where the numbers come from

2 publications, 9 figures. Every one links to the page it was read from.

GDPval-AA ↗1 measureread 2026-09-27
GDPval-AA -405
GPQA Diamond 11.9%HMMT Feb 2026 0.6%BFCL v4 25.3%HumanEval+ 16.5%MBPP+ 35.4%AIME 2025 1%AIME 2026 0.2%LiveCodeBench v6 6.6%

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PublicAI Index badge for Qwen3.5 0.8B[![PublicAI Index](https://publicai.io/model-index/badge?model=qwen3-5-0-8b)](https://publicai.io/model-index/m/qwen3-5-0-8b)

✱ 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 2026-09-27 · the full index · JSON API