Unverified50% confidenceFactExact time
The Typed Decisions benchmark is a structured, probabilistic classification benchmark that specifically measures a model's ability to make calibrated decisions in multi-dimensional classification tasks.
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50%
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Long-term
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10/16/2026
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Partially VerifiedA Decision Model returns a probability or classification result for content rather than outputting long passages of text, and its structured output can be used directly in if statements in code.77% similarUnverifiedThe decision rule for determining primitive type is: if the model decides when to use it, make it a Tool; if the application or user attaches it as context, make it a Resource; if a human initiates the workflow, make it a Prompt.76% similarUnverifiedd1-ultra is a multimodal decision model specifically handling classification, routing, and scoring tasks; its input supports text and images, and it does not generate text but rather outputs structured probabilistic judgments.76% similarUnverifiedA typed decision model is a model that returns structured, typed results (such as choice, score, or probability) that software can consume directly without parsing free-form text.74% similarUnverifiedThe Decisions API directly returns typed results, including probability values, options, and scores74% similar
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