Microsoft releases Decision-1 model for low-cost decision-scoring and classification in agent workflows
A post describes a structured API for calibrated probabilities and claims $0.042 per million input tokens, with free output.
TLDR
Microsoft's Decision-1 is a low-cost decision-scoring and classification model for agent workflows. A post says it outputs calibrated probabilities through a structured API and claims faster output and accuracy similar to GPT6Sol, at $0.042 per million input tokens with free output.
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