Unverified50% confidenceFactExact time
Anthropic's Context Caching marks breakpoint positions via cache_control in the request body, and after a hit, the price of cached read tokens is far lower than that of regular input tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/31/2026
First Seen
Valid until: 1/29/2027
Sources
Backend to AI Agent Engineer: What Are P7 Interviewers Really Testing?
bilibili大模型学习教程10/31/2026
Related Entities
Related Claims
UnverifiedThe cached input mechanism skips repeated inference computation by reusing the KV cache for identical prefix content, with cache-hit tokens billed at a lower price.72% similarUnverifiedSemantic Cache can reduce third-party large model API call costs by reusing historical answers for similar questions.72% similarUnverifiedPrefix caching is highly sensitive to the order of context concatenation; if dynamic content is inserted at the head of the message list with every request, the cache hit rate will plummet to zero.71% similarVerifiedThe semantic caching mechanism vectorizes and stores historical responses to similar requests, and when semantic similarity exceeds a threshold, it directly returns cached results to reduce upstream API call frequency and costs71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1119643API
curl https://kongchang.com/api/v1/knowledge/claims/1119643MCP
get_claim(id=1119643)