DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 ranks #35 out of 226 models on the public BenchAlign leaderboard, with a score of 65.67/100. Its evidence status is Supported, and this profile shows 31 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

DeepSeek V4.1 Flash 1017 ranks #36 out of 186 eligible models for knowledge and understanding, with a public category score of 65.2/100. 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.

DeepSeek V4.1 Flash 1017 ranks #18 out of 151 eligible models for coding and programming, with a public category score of 60.9/100. 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.

DeepSeek V4.1 Flash 1017 has source-displayable benchmark coverage for mathematics, 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.

DeepSeek V4.1 Flash 1017 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.

DeepSeek V4.1 Flash 1017 ranks #24 out of 130 eligible models for agentic tool use and computer tasks, with a public category score of 61.7/100. 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.

DeepSeek V4.1 Flash 1017 has source-displayable benchmark coverage for multimodal and grounded tasks, 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.

DeepSeek V4.1 Flash 1017 is an open-weight model from DeepSeek. 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. DeepSeek V4.1 Flash 1017 currently has 44 source-displayable rows across 686 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.

DeepSeek V4.1 Flash 1017 has a documented context window of 1M. 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.