Unverified50% confidenceFactExact time
Cache reuse is a cost optimization mechanism for large language model API calls; when the prefix of a request matches a previous request, the already-computed KV cache can be reused, skipping redundant computation and reducing latency and cost.
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50%
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Long-term
Relevance
9/23/2026
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Related Claims
UnverifiedPrefix 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.71% similarUnverified在性能敏感的代码中，显式使用view并手动管理连续性优于使用reshape，因为reshape可能带来额外的内存开销和计算时间68% similarUnverifiedIn the Prompt Cache mechanism, when the prefix content of an API request is identical to a previous one, the system reuses the already-computed KV cache to complete cache reads at a lower price, while cache write is the billing item for the first time content is written into the cache.68% similarUnverifiedA 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.67% similarUnverifiedImplementing retry logic with exponential backoff at the API call layer and caching results of high-frequency requests can provide a buffer during brief service fluctuations.66% similar
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