DeepSeek's new tech report: 890 bytes/token KV, inference-first architecture dissected
nrehiew_ · x · 2026-09-11
Researcher nrehiew dissects DeepSeek's latest tech report, calling it cleaner than v4's HSA+CSA combo. Key points: the architecture is clearly inference-first (RL blurs the training/inference line); KV size is a startling 890 bytes/token at benchmark performance; the reasoning-performance plot is oddly non-linear (possible quality penalties), while the agent swarm plot is cleaner; agent team mode is explicitly RL-trained with rewards combining task performance and collaboration. He doubts OpenAI/Anthropic would pursue such architectural frankenstein designs given their custom inference chips.
Related event: Leaked DeepSeek V4.1 Flash Tech Report Reveals KV Cache-Obsessed Flagship(44 posts)→
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