Opus 4.5: BalancedMost likely to name a specific tool (86.7%). Distributes picks most evenly across alternatives.
The model must be autoregressive. It receives a token sequence as input and predicts the next token. Output digits are generated one at a time, with each new token fed back as input for predicting the next. The carry propagation must emerge from this autoregressive process — not from explicit state variables passed between steps in Python.
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