Unverified50% confidenceFactExact time
DeepSeek's caching mechanism is prefix caching: the server hashes the input token sequence of each request by prefix, and if the start of the current request exactly matches a previous request, the KV cache for that prefix can be reused directly.
1
Sources
50%
Confidence
Long-term
Relevance
11/6/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDeepSeek Harness has made dedicated optimizations at the engineering level around prefix caching.73% similarUnverifiedUsing DeepSeek for translation incurs token billing and requires network connectivity.70% similarUnverifiedDeepSeek's inference system averages 77,000 input tokens per request, of which 96% hit the KV cache directly.69% similar
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