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Prompt Caching: How to Cut LLM Operating Costs Dramatically Without Sacrificing Quality
One of the biggest headaches in operating an AI service is the combination of “input token cost” and “response latency.” That worry only deepens for services that reference long documents or rely on complex system instructions. You can’t shrink the context without hurting answer quality, and when the cost becomes unbearable, the first optimization strategy you should reach for is prompt caching.
July 1, 2026