Unverified50% confidenceTradeoffExact time
DeepSeek 4.1 Flash consumes a large number of tokens, and the cost advantage brought by its small KV cache is partially offset by the high token consumption.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/19/2026
First Seen
Valid until: 12/18/2026
Sources
Related Entities
Related Claims
UnverifiedDeepSeek V4.1 Flash reduces per-token storage from 3,500 bytes in the previous generation to approximately 890 bytes through KV cache inter-layer alternation and reuse optimization.76% similarUnverifiedDS4 implements KV cache disk persistence to preserve the 1 million token ultra-long context capability of DeepSeek V4 Flash.75% similarUnverifiedDeepSeek's prefix caching implementation is based on the MLA (Multi-head Latent Attention) architecture, which reduces the storage requirements of the KV Cache by tens of times through low-rank compression.66% similarUnverifiedAs the context length increases, the rate of memory usage growth for V4.1 Flash becomes increasingly gradual, allowing it to support longer input windows with fewer resources.65% similarUnverifiedThe core bottleneck in large model inference on GPUs is memory bandwidth; autoregressive generation of each token requires loading the full KV Cache from HBM, with compute utilization typically below 5%.65% similar
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