Qwen3.5-27B

Qwen3.5-27B ranks #108 out of 215 models on the public BenchAlign leaderboard, with a score of 47.94/100. Its evidence status is Estimated, and this profile shows 21 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Qwen3.5-27B ranks #96 out of 180 eligible models for knowledge and understanding, with a public category score of 45.1/100. 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.

Qwen3.5-27B ranks #100 out of 162 eligible models for coding and programming, with a public category score of 33.1/100. 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.

Qwen3.5-27B ranks #81 out of 160 eligible models for reasoning and logic, with a public category score of 39.3/100. 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.

Qwen3.5-27B ranks #85 out of 135 eligible models for agentic tool use and computer tasks, with a public category score of 36.8/100. 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.

Qwen3.5-27B ranks #58 out of 67 eligible models for multimodal and grounded tasks, with a public category score of 50.5/100. 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.

Qwen3.5-27B ranks #15 out of 157 eligible models for instruction following, with a public category score of 92.9/100. 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.

Qwen3.5-27B ranks #10 out of 17 eligible models for multilingual tasks, with a public category score of 87.1/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Qwen3.5-27B 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. Qwen3.5-27B currently has 34 source-displayable rows. 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.

Qwen3.5-27B has a reported context window of 262K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.