DeepSeek 发布 DeepSeek-V4.1-Flash-1017 更新
DeepSeek-V4.1-Flash-1017 Update
DeepSeek 将 DeepSeek V4.1 Flash 升级为 DeepSeek-V4.1-Flash-1017，官网与 APP 模型同步更新，API 调用方式和价格不变，仍用 deepseek-flash 即可访问。
官方给出新版本在多项基准上的分数与成本变化，读者可据此判断升级后的性价比与适配平台。
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.
来源：DeepSeek API News · api-docs.deepseek.com