Unverified50% confidenceFactExact time
Prompt caching charges only one-tenth the price for input tokens that have already been processed, making it one of the highest-leverage cost optimizations on modern LLM APIs.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedPrompt Caching is a cost-optimization mechanism introduced by mainstream LLM providers (such as Anthropic and OpenAI): when the prefix portion of multiple requests is completely identical, the provider caches that portion of the computation, and tokens that hit the cache are billed at a price far below normal input.79% similarUnverifiedCache hit is a billing optimization mechanism in large language model APIs, with rates typically only 1/4 or even lower than that of regular input tokens.73% similarVerifiedThe Claude API supports a Prompt Caching mechanism, where content is billed at full price on the first request, and subsequent tokens that hit the cache cost approximately 10% of the original price72% similarUnverifiedThe current pricing systems of mainstream LLM APIs are usually composed of several dimensions: per-token billing (distinguishing input/output), per-call billing, tiered pricing, and cache-hit discounts.71% similarUnverifiedAlmost all LLM APIs typically charge only 10% of the full price for cache-hit tokens on the second and subsequent times identical content is seen.71% similar
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