Qwen3.5-27B

Qwen3.5-27B ranks #62 out of 217 models on the public BenchAlign leaderboard, with a score of 59.64/100. Its evidence status is Supported, and this profile shows 16 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 #19 out of 55 eligible models for knowledge and understanding, with a public category score of 76.8/100. 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 #41 out of 134 eligible models for coding and programming, with a public category score of 54.1/100. 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 has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Qwen3.5-27B ranks #59 out of 129 eligible models for agentic tool use and computer tasks, with a public category score of 48.8/100. 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 #32 out of 33 eligible models for multimodal and grounded tasks, with a public category score of 0/100. 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 #8 out of 38 eligible models for instruction following, with a public category score of 92.5/100. 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 ranks #10 out of 13 eligible models for multilingual tasks, with a public category score of 36.8/100. 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 28 source-displayable rows across 431 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.

Qwen3.5-27B 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.