Applications and agents make many small decisions throughout a workflow: how to classify an input, where to route a request, or which action to take next. Individually, they are simple. At scale, their latency and cost add up.

Today, we’re making the Decisions API generally available. Built with GPT‑6 Luna, the Decisions API focuses Luna’s intelligence on questions with bounded answers, helping applications and agents make near real-time decisions from text, images, and structured inputs up to 10x faster than GPT‑6 Luna through the Responses API.

Since public beta, we’ve added a native GPT‑Live integration, prompt caching for reused context, and inference residency in the US and EU. Developers can also pass native JSON inputs, include images in question instructions, and ask up to 400 questions per request, twice the previous limit. We’ve also continued to improve latency, including additional capacity in several regions in Asia.

Early adoption of Decisions has shown its applicability across a variety of use cases.

Across OpenAI, teams are applying the Decisions API across product and business workflows. The dots team is using it to reduce response times and improve interactivity. Our Personal Finance team is using it to categorize transaction descriptions, while our Communications team is using Decisions to classify coverage by the themes and scores whether it reinforces or challenges key narratives—helping identify what warrants closer review.

These early examples show how fast, structured decision-making can turn incoming information into useful action across a wide range of use cases. Customers are applying the Decisions API just as broadly, from accurately attributing AI costs to making language-learning experiences more interactive.

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