Unverified50% confidenceFactExact time
The System One decision model is a model that does not generate answers token by token; it reads state and a structured question, returns the probability of each option in a single inference, and its output is a structured probability distribution rather than free text.
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Long-term
Relevance
10/19/2026
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Related Claims
UnverifiedDecisions API is a System 1 type model that does not follow the Next Token Prediction approach, but instead directly predicts the probabilities of various possible outcomes.75% similarUnverifiedSystem One models generally refer to lightweight models with relatively few parameters, shorter reasoning chains, and extremely low response latency, in contrast to slow-thinking reasoning models such as o1 and DeepSeek-R1.75% similarUnverifiedThe new version requires that a model must explicitly possess the decision capability before it can be scheduled to handle System One requests.74% similarUnverifiedSystem-1 decision models directly output classification probabilities in a single forward pass, completing decisions at extremely low cost and latency.73% similarUnverifiedWity-1 is a "reasoning decision model" whose strategy is to reason only to the point of sufficiency, stopping when the LLM's internal probability distribution indicates that an answer has been reached.73% similar
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