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OpenAI released the Decisions API, a beta tool that evaluates text and images to return typed answers—probabilities, category selections, or scored ratings—10x faster than the Responses API. It's built for content classification, request routing, and work prioritization without needing to generate free-form text.
- Three question types handle different tasks: predicates return probability estimates for yes/no conditions, choices select from fixed categories, and scores rate inputs against ordered severity levels using probability-weighted averages.
- The API costs $0.10 per 1M input tokens with no output charges, supports HIPAA and Zero Data Retention for eligible customers, and currently runs only on gpt-6-luna model via a dedicated endpoint.
- Real use cases include flagging product photos with visible damage (predicate), routing customer complaints to departments (choice), and assessing bug severity for triage (score).
OpenAI released the Decisions API in public beta, which makes classification and decision-making tasks roughly 10 times faster than their Responses API. The tradeoff is higher cost per request and currently no token caching support, which some developers find economically unattractive for certain use cases.
- Decisions API processes text and image inputs to return typed answers (probabilities, choices from sets, rubric scores) about 10x faster than the Responses API, with median response times around 0.3-0.8 seconds on typical connections
- Accuracy is comparable to Luna (the model used in Responses API) but slightly faster and more variable in performance, though the practical difference is negligible
- No token caching is currently available, making the API more expensive per request than alternatives for repeated classification tasks—a limitation developers hope gets addressed soon