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DeepSeek:API 更新日誌·· 19 小時前AI 評分64

DeepSeek-V4.1-Flash-1017 更新,API 呼叫方式及定價維持不變

DeepSeek-V4.1-Flash-1017 Update

AI 導讀

DeepSeek 將 V4.1 Flash 升級至 DeepSeek-V4.1-Flash-1017,官方網頁及 APP 模型亦已更新至新版本。API 呼叫方式及定價維持不變,用戶可繼續透過 deepseek-flash 呼叫最新模型;新版本在 Terminal-Bench 4.0 取得 42.3、DeepSWE v1.1 取得 77.0 等基準成績。

正文

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.

Performance–cost Pareto improvement

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.


來源:DeepSeek:API 更新日誌 · api-docs.deepseek.com