Qwen3.8-27B

Qwen3.8-27B ranks #54 out of 201 models on the public BenchAlign leaderboard, with a score of 55.26/100. Its evidence status is Estimated, and this profile shows 33 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Qwen3.8-27B ranks #59 out of 160 eligible models for knowledge and understanding, with a public category score of 49.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Qwen3.8-27B ranks #41 out of 136 eligible models for coding and programming, with a public category score of 48.7/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Qwen3.8-27B ranks #16 out of 111 eligible models for agentic tool use and computer tasks, with a public category score of 61.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Qwen3.8-27B ranks #11 out of 50 eligible models for multimodal and grounded tasks, with a public category score of 80.9/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Qwen3.8-27B ranks #45 out of 124 eligible models for instruction following, with a public category score of 83.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Qwen3.8-27B is an open-weight model from Alibaba. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

No. Qwen3.8-27B currently has 55 source-displayable rows across 486 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

Qwen3.8-27B has a documented context window of 262K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.