How Claude Code Achieves 92% Prompt Cache Hit Rate and Cuts Costs by 81% – A Deep Dive
This article explains the mechanics of prompt‑caching for large language models, breaks down static versus dynamic context, details KV‑cache operation and its pricing, and shows how Claude Code’s 30‑minute programming session reached a 92% cache hit rate that reduced inference costs by 81%, concluding with three production‑grade design rules.
