GPT-6 prompt caching can be tuned with breakpoints and prewarming

OOpenAI Developers9/22/2026, 14:25:22

OpenAI Developers says applications can tune GPT-6 prompt caching in three ways. Explicit cache breakpoints choose which prompt prefixes to reuse. Reasoning effort and tool availability can be adjusted while cached context is preserved, and shared context can be prewarmed so responses start sooner.

#openai #gpt-6 #prompt-caching

View original post ↗

Previous articleAnna Tong reports micro1_ai and aliansarinik raised over $100 million at a $4 billion valuation Next articleOpenAI Developers improves prompt caching for GPT-6 in the API

Related AI news

OpenAI Developers improves prompt caching for GPT-6 in the API

Higher default cache-hit rates let more GPT-6 input tokens receive cached-input discounts of up to 90%. OpenAI Developers says the change helps agents run faster and cost less.

OOpenAI Developers•9/22/2026, 14:22:55•

#openai #gpt-6 #prompt-caching #api #pricing

OpenAI asks image-input workflows to rerun evals after an image-encoding fix

OpenAI Developers recommends rerunning evaluations and retrying workflows that use image inputs. Its changelog describes the fix as a bug in image encoding, following the image-understanding fix for GPT-6 Sol and GPT-6 Luna.

OOpenAI Developers•9/27/2026, 10:01:04•

#openai #gpt-6 #image-encoding #evals

OpenAI Developers introduces a Prompt Caching Dashboard and diagnostics API

A new Prompt Caching Dashboard on platform.openai.com tracks cache-hit rates. A diagnostics API identifies changes that prevented cache reuse and estimates how many tokens were affected.

OOpenAI Developers•9/22/2026, 14:23:51•

#openai #prompt-caching #api #developer-tools