DeepSeek's V4.1-Flash KV cache compression could undercut OpenAI and Anthropic's compute moat
justlikemedics · reddit · 2026-09-13
A Reddit analysis highlights DeepSeek's newly published KV cache compression method (shipped alongside DeepSeek-V4.1-Flash), which drastically cuts the memory needed to serve long contexts.
- Cheaper inference: less memory per request means lower serving costs and larger feasible context windows.
- Strategic implication: OpenAI and Anthropic's advantage in securing compute becomes less meaningful when inference gets this cheap, making it harder for them to recoup training spend on top models.
- The author argues Chinese labs are relentlessly driving down inference costs, pressuring the business models of US frontier labs.
Related event: DeepSeek Ships V4.1-Flash, Compressing KV Cache to 890 Bytes per Token(6 posts)→
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