OpenAI Decisions API vs. Jev: A Practical Guide to Decision Models

OpenAI’s Decisions API, announced in limited preview at DevDay 2026, is designed for applications that need models to select from predefined outcomes rather than generate open-ended prose, such as routing tickets, classifying content, or choosing an agent action. The announcement describes text and image context with bounded answers, but public documentation reviewed by the author did not yet include a request schema, endpoint, or pricing, so developers are advised to confirm current details before adopting it. In contrast, TypeSafe’s Jev and six other models are publicly available through decisions-api.dev, where developers can submit structured state and typed choice, score, or yes-or-no questions through a documented API, with model-specific capabilities and credit-based input pricing. The guide recommends evaluating models using identical labeled real-world cases, measuring accuracy, calibration, latency, cost, and handling of ambiguous or incomplete inputs, while deploying consequential decisions first in shadow mode. It emphasizes that model outputs remain judgments rather than authorization, requiring applications to enforce permissions, business rules, idempotency, and human-review policies before executing actions.

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