Unverified50% confidenceFactExact time
The cost of the fixed context can be approximated as: number of fixed-prefix tokens × number of calls × cache-read unit price.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn mainstream API pricing structures such as Anthropic's, the unit price of cache-read tokens is only 1/10 to 1/30 of standard input tokens.77% similarUnverifiedCost per task = input tokens × input unit price + output tokens (including thinking tokens) × output unit price.77% similarVerifiedThe cache read mechanism retains the KV cache for recurring long prompt prefixes, charging at an extremely low rate upon a cache hit; the leaked cache read price for Opus 5.5 is approximately 1/20 of the input price.73% similarUnverifiedPrompt Caching在提示词前缀完全相同且超过约1024 token阈值时命中，缓存token通常按原价的25%甚至更低计费73% similarUnverifiedCached input tokens are a discount mechanism offered by providers such as OpenAI for large repeated prefixes (such as system prompts, long documents, and few-shot examples); input tokens that hit the cache are billed at a lower rate, usually only about one-tenth of the standard input price.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1064638API
curl https://kongchang.com/api/v1/knowledge/claims/1064638MCP
get_claim(id=1064638)