Unverified50% confidenceFactExact time
Prompt caching reuses the key-value cache (KV Cache) of identical prefix content, reducing input token billing and lowering first-token latency.
1
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50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
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VerifiedIn 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.78% similarUnverifiedPrefix Cache optimization refers to the API server's ability to cache the KV computation results of an unchanged system prompt prefix across multi-turn conversations for reuse by subsequent requests, reducing redundant computation and lowering latency and token costs.75% similarUnverifiedClient-side caching is only effective for completely identical inputs, while KV Cache excels at handling scenarios with repeated prefixes; using both in combination can cover a wider range of repetition patterns.75% similarVerifiedThe core principle of prompt caching is cross-request reuse of the KV Cache, where already-computed KV states can be cached and reused when multiple requests share the same prefix.75% similarUnverifiedPrefix caching, by reusing KV vector caches for identical context prefixes, can bring 50%–80% computational savings in AI agent scenarios and significantly reduce time-to-first-token (TTFT) latency.74% similar
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