DeepSeek-v4.1 Flash: Pushing the Limits of KV Cache Compression
The release of DeepSeek-V4.1 Flash, which some suggest should be named V5, focuses on extreme KV Cache compression to improve model performance and efficiency. The technical report details architectural optimizations designed to handle long-horizon agent workflows and reduce computational pressure during prefill.
Why it matters
Advancements in KV Cache compression are critical for scaling large language models and enabling more efficient long-context AI applications.
When DeepSeek-V4.1 Flash was released, I thought it might just be a post-training iteration version... but after using it for a while, I found it reached nearly 420 Tokens/s in speed, and then Cui said all DeepSeek-V4 Pro models would be taken offline... suddenly I felt this was no small matter... until the Technical Report 《DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression》 [1] was fully released, only then did I realize it should be called DeepSeek-V5 Flash...
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