DeepSeek V4 Flash 0731: The Agent Benchmarks Behind Today's Hype
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DeepSeek released the official build of V4 Flash today, named DeepSeek-V4-Flash-0731, and the interesting part is not that a new model dropped. It is what post training alone did to agent performance. Same model, new job The 0731 build keeps the exact architecture and size of the April preview: 284B total parameters, 13B active, 1M token context. DeepSeek only re ran post training, aimed squarely at agent workloads. The deltas: Benchmark Preview 0731 Terminal Bench 2.1 61.8 82.7 DeepSWE 7.3…
1Key Takeaways
- DeepSeek released the official build of V4 Flash today, named DeepSeek-V4-Flash-0731, and the interesting part is not that a new model dropped.
- It is what post training alone did to agent performance.
- Same model, new job The 0731 build keeps the exact architecture and size of the April preview: 284B total parameters, 13B active, 1M token context.
- DeepSeek only re ran post training, aimed squarely at agent workloads.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that deepSeek released the official build of V4 Flash today, named DeepSeek-V4-Flash-0731, and the interesting part is not that a new model dropped.
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