Expired80% confidenceFactExact time
Prefix Caching technology persistently stores already-computed KV vectors on the server side, allowing direct reuse when new requests share a large number of repeated prefixes with previous requests, with the matched portion billed at the cache price.
4
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
DeepSeek API Setup Tutorial: Key Configuration & Cost Analysis Practical Guide
bilibili刘知了zZ6/11/2026
Related Claims
UnverifiedA cache hit means the model server recognizes that the prefix of the current request highly overlaps with a previous request, and directly reuses the already-computed KV cache without re-running inference, thereby reducing the actual computation load.77% similarUnverifiedAnthropic's prompt caching feature allows caching of repeatedly occurring system prompts or code files to reduce input token costs.77% similarUnverifiedAnthropic's Prompt Caching feature allows frequently repeated long contexts (such as system prompts, codebases, and documents) to be cached on the server side.77% similarVerifiedKV Cache通过将已计算的键值对持久化存储，使相同Prompt前缀的后续请求可直接复用，跳过重复的矩阵运算76% similarUnverifiedvLLM的前缀缓存（Prefix Caching）对KV Cache块计算哈希值，当新请求输入前缀与已缓存请求重叠时直接复用物理缓存块，跳过该部分prefill计算76% similar
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