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Better prompt caching for GPT-6
OpenAI's updated prompt caching for GPT-6 provides up to 90% discounts on cached input tokens with new diagnostic tools for tracking performance.
What: OpenAI upgraded its prompt caching for the GPT-6 family, improving hit rates for shared prefixes within a 30-minute window. Developers now have access to a dashboard for monitoring hit rates and a diagnostics tool to debug cache misses.
Why it matters: Improving cache hit efficiency directly lowers operational costs for high-volume inference applications while enabling developers to use more complex system prompts without increasing latency.
Takeaway: Integrate the new Prompt Caching Dashboard and diagnostics tools into your CI/CD observability stack to identify opportunities for prewarming the cache.
Original article
OpenAI launched an improved prompt caching system for the GPT-6 family that delivers higher cache hit rates by default. Developers get discounts of up to 90% on cached input tokens when the system reuses shared prefixes within a 30-minute window. New tools include a Prompt Caching Dashboard to track hit rates and a diagnostics tool to investigate unexpected misses. Developers can also prewarm the cache to reduce latency or adjust reasoning effort between responses without breaking cache.
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