DeepSeek V4.1 Flash cuts KV-cache to 890 bytes per token for cheap long context
Prompt Engineering · youtube · 2026-09-13
DeepSeek released V4.1 Flash, built around making long-context AI dramatically more efficient. This video breaks down how it shrinks KV-cache memory to just 890 bytes per token via CED split, CSA2 layer sharing, and 4-bit quantization replay.
Key points:
- Why KV cache is the biggest long-context cost bottleneck
- Prefill vs decode compute tradeoffs
- Implications for long-running agents and huge codebases
- Benchmarks: impressive efficiency, but capability still trails frontier systems
Related event: DeepSeek Ships V4.1-Flash, Compressing KV Cache to 890 Bytes per Token(6 posts)→
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