Better prompt caching for GPT-6

OpenAI News · 1d ago
Model Releases LLMs

How-To How to actually use this

What changed: GPT-6 improves prompt caching with higher cache hit rates, new diagnostics, explicit breakpoints, and cost/latency controls.

How to use it:

  1. Enable prompt caching in your API call parameters to let GPT-6 reuse previous prompt segments.
  2. Monitor cache hit rates using the new diagnostics endpoint to verify caching is working.
  3. Set explicit breakpoints in long prompts to control which segments get cached and reused.
  4. Adjust latency and cost controls to balance caching aggressiveness against response time and budget.

Good for: developers optimizing API costs and latency with repeated prompts

Learn how GPT-6 improves prompt caching with higher cache hit rates, new diagnostics, explicit breakpoints, and controls that reduce latency and costs.

Read original article on OpenAI News →