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Qwen3.8 27B

Alibaba · 28B · open weights

Strongest in Data analysis (#16 of 31), weakest in Agents (#192 of 298). Above par in 19 of 32 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5.1 and Claude Fable 5 and ahead of GPT-6 Luna and MiniMax M3.

§ 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.

Knowledge55.6#34/197
Document parsing56.1#30/83
Academic knowledge53.9#62/123
Factuality48.8—/0✱
Coding52.7#65/179
Agentic coding52.8#60/173
Code generation57—/20✱
Professional50.4#89/194
Document design49#20/31
Cybersecurity52.6#28/47
Legal53.3#61/173
Finance52.4#80/162
Medical44.2#121/149
Human preference59.8#92/354
Human preference59.8#92/354
Core abilities49#112/199
Data analysis54.1#16/31
Instruction following58.4#18/62
Language45#46/62
General intelligence43.7#130/178
Long context60.9—/0✱
Reasoning46.9#121/195
Science58.9#32/122
Reasoning48.1#74/147
Mathematics40#120/152
Expert reasoning55.7—/0✱
Agents46.5#192/298
Long-horizon work38.2#26/31
Web research36.4#32/35
Knowledge work61.4#38/208
Computer use37.8#61/68
Tool use68.5—/81✱

§ 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 Qwen3.8 27B, left for the other.

Gemma 4 31Bwon 18 · lost 2
GPT-5.4 nanowon 17 · lost 4
Inklingwon 19 · lost 7
Gemini 3.5 Flash-Litewon 16 · lost 6
MiniMax M3won 12 · lost 10
GPT-6 Lunawon 13 · lost 12
Claude Haiku 5.5won 9 · lost 16
Claude Sonnet 4.6won 7 · lost 13
Mistral Large 4won 7 · lost 14
GLM-5.3 Flashwon 9 · lost 18
GLM-5.2won 6 · lost 14
Claude Sonnet 5won 6 · lost 15
GPT-5.6 Lunawon 6 · lost 16
Gemini 3.1 Prowon 5 · lost 15
Gemini 3.6 Flashwon 5 · lost 16
Gemini 3.8 Flashwon 6 · lost 21
DeepSeek V4 Flashwon 4 · lost 17
DeepSeek V4 Prowon 4 · lost 17
GPT-5.4won 4 · lost 17
Gemini 3.5 Flashwon 4 · lost 17
Claude Opus 4.8won 4 · lost 17
Claude Opus 4.7won 4 · lost 17
GPT-5.6 Terrawon 5 · lost 22
Grok 4.6won 4 · lost 22
GPT-5.5won 3 · lost 18
GLM-5.3won 3 · lost 18
Claude Opus 5won 3 · lost 18
Grok 4.5won 3 · lost 19
Claude Sonnet 5.5won 3 · lost 22
DeepSeek V4.1 Flashwon 3 · lost 22
MiMo V2.6 Prowon 2 · lost 19
Gemini 3.7 Flashwon 2 · lost 19
GPT-6 Astrawon 2 · lost 23
GPT-6.1 Solwon 2 · lost 23
Claude Opus 5.5won 2 · lost 23
Qwen3.8 Maxwon 2 · lost 24
Kimi K3won 2 · lost 24
Gemini 4 Argonwon 1 · lost 20
Muse Wonderwon 1 · lost 21
GPT-5.6 Solwon 1 · lost 22
Muse Spark 1.3won 0 · lost 22
Grok 4.7won 0 · lost 23
Claude Fable 5won 0 · lost 23
Claude Fable 5.1won 0 · lost 27

§ 3 · Sources

Where the numbers come from

11 publications, 51 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1433
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 20
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1427
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1391
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 42.4%
LiveBench ↗8 measuresread 2026-11-10
LiveBench 54LiveBench · Agentic 15.9LiveBench · Reasoning 80LiveBench · Coding 69.3LiveBench · Browser Use 24.2LiveBench · Data Analysis 76.6LiveBench · Research 61.3LiveBench · Design 72.4
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 75.3LiveBench 1.0 · Reasoning 80LiveBench 1.0 · Coding 75.7LiveBench 1.0 · Agentic Coding 61.4LiveBench 1.0 · Mathematics 86.2LiveBench 1.0 · Data Analysis 76.6LiveBench 1.0 · Language 74.3LiveBench 1.0 · Instruction Following 72.7
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 60.2%
Vals.ai ↗14 measuresread 2026-11-10
Vals · Legal Research Bench 36.06%Vals · LegalBench 82.43%Vals · Finance Agent 48.55%Vals · TaxEval 70.85%Vals · MortgageTax 64.94%Vals · MedCode 28.7%Vals · MedScribe 83.85%Vals · CyberBench 67.8%Vals · SWE-bench Verified 86% (Mini-SWE-agent)Vals · Vibe Code Bench 64.85% (OpenHands)Vals · Code Migration 14.16%Vals · GPQA Diamond 88.89%Vals · MMLU Pro 84.34%Vals · ProofBench 16%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 69.03%ParseBench · Tables 66.82%ParseBench · Charts 68.05%ParseBench · Content faithfulness 88.01%ParseBench · Semantic formatting 59.28%ParseBench · Visual grounding 63.01%
tau3-Banking 48%Terminal-Bench 2.1 79.8%SciCode 44.7%Humanity's Last Exam (without tools) 33.9%GPQA Diamond 90.5%CritPt 5.4%AA-LCR 77.3%AA-Omniscience Accuracy 15.6%AA-Omniscience Non-Hallucination 69.7%

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✱ 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 2026-11-10 · the full index · JSON API