Unverified50% confidenceFactExact time
Mammoth-1 and Elephant-1 are decision models that do not generate free text but instead perform classification, routing, and scoring tasks on inputs, returning options, probabilities, and scores.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
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Related Claims
UnverifiedDecision-1 receives a state description and a fixed set of candidate answers, returns calibrated probability values for each option, and outputs structured JSON rather than free text.70% 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.69% similarUnverifiedMouse-1's core idea is to separate decision-making from reasoning: it does not handle complex logical reasoning or code generation, but instead quickly returns probability values based on the Agent's state and the available options.65% similarUnverifiedDecisions 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.64% similarUnverifiedThe 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.63% similar
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