Better prompt caching for GPT-6
GPT-6 adds cache diagnostics, explicit breakpoints, and controls aimed at improving prompt-cache hit rates, giving agent builders more levers over repeated-context latency and cost.
GPT-6 prompt caching adds **higher cache hit rates**, **new diagnostics**, **explicit breakpoints**, and additional controls intended to reduce latency and cost.
Builders should inspect the diagnostics and test where breakpoints belong in stable agent context, especially for workflows that repeatedly send the same instructions or project data.
GPT-6 prompt caching adds **higher cache hit rates**, **new diagnostics**, **explicit breakpoints**, and additional controls intended to reduce latency and cost. Builders should inspect the diagnostics and test where breakpoints belong in stable agent context, especially for workflows that repeatedly send the same instructions or project data. The material provides no API details, measurements, pricing, or migration guidance, so the practical gains and integration work remain unclear.
This makes retaining repeated context a more controllable optimization, potentially strengthening the full-history baseline before builders adopt compaction, compression, or externalization. Diagnostics and explicit breakpoints create a way to test cache behavior, but without API details or measurements the signal does not establish when caching outperforms those alternatives.