Skip to main content
AI Socratic
DeepSeek opens the V4 Flash API, and its agent scores jump

DeepSeek has put the DeepSeek-V4-Flash API into public beta, alongside a new 0731 checkpoint whose agent scores land far above both the earlier Flash preview and the larger V4-Pro-Preview. The official endpoint now speaks the Responses API format natively and is configured for Codex.

The model itself is not new — V4 Flash shipped in April as an open-weight 284B mixture-of-experts with 13B active parameters and a 1M-token context. What changed is the agent tuning.

BenchmarkV4-Flash-0731V4-Flash-PreviewV4-Pro-PreviewGLM-5.2Opus 4.8
Terminal Bench 2.182.761.872.181.085.0
NL2Repo54.239.438.548.969.7
Cybergym76.738.752.783.1
DeepSWE54.47.312.846.258.0
Toolathlon-Verified70.349.755.959.976.2
Agents' Last Exam25.215.816.523.825.7
AutomationBench (Public)25.110.812.812.927.2
DSBench-FullStack68.737.041.861.871.6
DSBench-Hard59.625.831.154.571.7

DeepSeek's own figures. Public code-agent tasks were run through its forthcoming DeepSeek Harness in minimal mode (max tier, top-p 0.95, temperature 1.0); DSBench-FullStack and DSBench-Hard are internal benchmark sets.

Two things stand out. V4-Flash-0731 beats GLM-5.2 on every row the two share, which moves the open-weight lead. And it is within about two points of Claude Opus 4.8 on Terminal Bench, Agents' Last Exam and AutomationBench — while still trailing it by fifteen on NL2Repo and twelve on DSBench-Hard. The gap has not closed, but on agentic terminal work it is now narrow.

Announced by @deepseek_ai.