Qwen3.8-27B
qwen family · launched 2026-08-14
MultimodalReasoningToolsStructuredOpen weightsQwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
What this model supports
Strengths by domain
Every result has a source
Raw results and standardized readings are shown together. Missing tests add neither points nor penalties.
Coding1 results
LiveBench 2.0 · CodingLiveBench86.80 scoreReading 86.8
Imported from LiveBench 2.0. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: LiveBench 2.0Open evidenceResearch & reasoning1 results
LiveBench 2.0 · ResearchLiveBench80.00 scoreReading 80.0
Imported from LiveBench 2.0. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: LiveBench 2.0Open evidenceProfessional work1 results
LiveBench 2.0 · ProfessionalLiveBench49.33 scoreReading 49.3
Imported from LiveBench 2.0. The published 0–100 score is used directly; it is not z-score normalized. Professional = long-agentic, browser, data-analysis and design average.
Configuration: LiveBench 2.0Open evidenceKnowledge & instruction1 results
LiveBench 2.0 · KnowledgeLiveBench59.40 scoreReading 59.4
Imported from LiveBench 2.0. The published 0–100 score is used directly; it is not z-score normalized. Knowledge uses the published LiveBench research suite.
Configuration: LiveBench 2.0Open evidenceHuman preference & indices3 results
Arena TextLMArena1,438.4 EloReading 72.4
Direct LMArena text leaderboard result.
Open evidenceLiveBenchLiveBench60.50 scoreReading 60.5
Imported from LiveBench 2.0. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: LiveBench 2.0Open evidenceAA IndexArtificial Analysis63.57 indexReading 54.0
Imported from Artificial Analysis. The published 0–100 score is used directly; it is not z-score normalized.
Configuration: LiveBench 2.0Open evidence