This story is from October 7, 2026. For the latest, see today's news.
OpenAI released a DevDay 2026 talk focused on reducing AI infrastructure costs without sacrificing output quality. The session covers practical techniques including measuring cost per completed task, selecting appropriate models based on use case, adjusting reasoning effort, using caching to avoid redundant processing, implementing Programmatic Tool Calling, and leveraging the Batch for non-urgent workloads.
The guidance is aimed at developers and teams looking to scale AI applications while managing expenses. These optimization strategies address a core concern for startups and enterprises deploying AI in production: keeping costs reasonable as usage grows.
This is an AI-written summary. The original reporting belongs to @OpenAI. How we write these · Spot a mistake?