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DeepSeek-V4.1-Flash-1017 Update

AI summary

Written by AI from the official notes. Check them for exact details.

DeepSeek V4.1 Flash has been upgraded to version 1017 with improved performance and reduced task runtime.

  • Substantial performance improvements across multiple benchmarks
  • Reduced task runtime and output length
  • Optimized for DeepSeek Harness and other platforms

Why it matters: Users of DeepSeek tools should upgrade to benefit from enhanced performance and cost efficiency.

Full release notes11 changes

DeepSeek V4.1 Flash has been upgraded to DeepSeek-V4.1-Flash-1017. The official web and APP models have also been updated to the new version. The API calling method and pricing remain unchanged — simply use deepseek-flash to access the latest model.

Compared with the previous DeepSeek V4.1, the new model delivers substantial improvements across benchmarks:

  • HLE (w/o tools): 42.6 (44.0*)
  • Terminal-Bench 4.0: 42.3
  • DeepSWE v1.1: 77.0
  • ProgramBench: 29.1
  • NL2Repo-Bench: 68.2
  • Automation-Bench v1.0.6: 60.5
  • Agents' Last Exam: 35.4
  • Apex Bench v1.1: 72.1
  • Chartography (w/tools): 83.0
  • BabyVision (w/tools): 92.5
  • ZeroBench-main (w/tools): 51.0

* Tested only on the pure-text subset of the HLE benchmark set. Terminal-Bench 4.0 was tested with the Claude Code framework, and DeepSWE with the Mini-SWE-V2 framework. ZeroBench-main was evaluated with Pass@5.

While improving performance, we also reduced the model's task runtime and output length, enabling users to complete tasks at lower cost and higher speed and achieving a new performance–cost Pareto optimum across multiple harnesses. We specifically optimized for DeepSeek Harness, Tencent CodeBuddy, WorkBuddy, and other platforms. Please upgrade to DeepSeek Harness 0.2.1-rc.1 or later for the best experience with the new model.