Qwen/Qwen3.8-27B · Hugging Face
Qwen published benchmark or leaderboard evidence for Qwen3.8 27B.
View sourceQwen
Qwen3.8 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...
Running this yourself: likely needs a high-memory cloud gpu.
OpenRouter
Price record: 2026-10-03. Source: openrouter.
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77.9
Quality Score
1243
Arena ELO
28B
Parameters
1M
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
19 of 22 public signals
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6.9M
Downloads
16.8K
Likes
Aug 2026
Released
5/5 signals
4/4 signals
5/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
3
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Qwen published benchmark or leaderboard evidence for Qwen3.8 27B.
View sourceGAIA score 44.2 from WA0824
View sourceGAIA score 44.2 from WA0824
View sourceQwen3.8 27B is now available through local Ollama runtime. 256K context window listed. Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.
View sourceQwen3.8 27B is now available through local Ollama runtime. 256K context window listed. Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.
Qwen published benchmark or leaderboard evidence for Qwen3.8 27B.