Qwen3.5-122B-A10B

Qwen3.5-122B-A10B ranks #113 out of 194 models on the public BenchAlign leaderboard, with a score of 40.06/100. Its evidence status is Estimated, and this profile shows 15 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Qwen3.5-122B-A10B ranks #86 out of 158 eligible models for knowledge and understanding, with a public category score of 41.5/100. 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.

Qwen3.5-122B-A10B ranks #73 out of 135 eligible models for coding and programming, with a public category score of 35.7/100. 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.

Qwen3.5-122B-A10B 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.

Qwen3.5-122B-A10B ranks #84 out of 105 eligible models for agentic tool use and computer tasks, with a public category score of 23.1/100. 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.

Qwen3.5-122B-A10B ranks #34 out of 50 eligible models for multimodal and grounded tasks, with a public category score of 57/100. 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.

Qwen3.5-122B-A10B ranks #11 out of 124 eligible models for instruction following, with a public category score of 91.6/100. 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.

Qwen3.5-122B-A10B ranks #10 out of 12 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.

Qwen3.5-122B-A10B 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. Qwen3.5-122B-A10B currently has 31 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.

Qwen3.5-122B-A10B 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.