OpenAI adds caching discounts and diagnostics to GPT-6 API
OpenAI has updated its GPT-6 API with improved prompt caching for agents. The changes include up to a 90% discount for reused shared instructions and tool definitions within 30 minutes, along with a new Prompt Caching Dashboard and diagnostics for cache misses. OpenAI also introduced explicit breakpoints and pre-warming features to help developers optimize long-running agents by reducing…
Key points
- GPT-6 API now offers up to 90% discount for cached shared instructions and tool definitions reused within 30 minutes
- New Prompt Caching Dashboard and diagnostics help developers track cache hit rates and identify inefficiencies
- Case study shows 36% cost reduction for a user who improved cache hit rate from 83% to 91%
The updates target developers building conversational agents or applications relying on the OpenAI API. A case study cited by OpenAI shows a user improved cache hit rates from 83% to 91%, cutting inference costs by 36%. OpenAI emphasizes that caching efficiency can be more impactful than switching to cheaper models, urging developers to analyze request structures for reusable context and tool definitions. The changes extend beyond model performance to include operational observability and cost management for long-running AI applications.
Model page: GPT-6 →
OpenAI: Improved Prompt Caching for GPT-6, Providing Diagnostics, Dashboards, and Explicit Breakpoints
note.com · 21 October 2026
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