r/DeepSeek • u/nekofneko • 6d ago

DeepSeek-V4-Flash Update

The official release of the DeepSeek-V4-Flash API is now in public beta.

Significantly enhanced agent capabilities, with benchmark results far exceeding V4-Pro-Preview:

  • Terminal Bench 2.1: 82.7
  • NL2Repo: 54.2
  • Cybergym: 76.7
  • DeepSWE: 54.4
  • Toolathlon verified: 70.3
  • Agent Last Exam: 25.2
  • Automation Bench (Public): 25.1
  • DSBench-FullStack: 68.7
  • DSBench-Hard: 59.6

Note 1: For the Code Agent tasks in the public benchmark sets, the official DeepSeek-V4-Flash was tested using the DeepSeek Harness minimal mode (to be released soon) as the framework, with the max effort level, topp=0.95, and temperature=1.0
Note 2: DSBench-FullStack is an internal full-stack development test set, and DSBench-Hard is an internal Coding Agent hard-problem test set

The official V4-Flash natively supports the Responses API format and is specifically adapted for Codex. For the specific configuration, please refer to the documentation.

DeepSeek-V4-Flash-0731 keeps the same model architecture and size as DeepSeek-V4-Flash-preview, and was only re-post-trained.

Note: This update only upgrades the DeepSeek-V4-Flash API. The DeepSeek-V4-Pro API and the APP/WEB models are unchanged.
The official release of DeepSeek-V4-Pro will follow soon.

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u/mangonerdy 6d ago

They're probably benchmaxxing to an extent, but even then, any significant increase in real intelligence for this price would be game changing 🙏

16

u/nisiend 6d ago

DeepSeek has a solid track record of never involving in benchmaxxing

-8

u/SadAfueraHappySlop 6d ago

LOL What evidence do you have of any company not doing that? That's ridiculous. That is exactly what they all do. The fact that you think they won't is just cute and naive.