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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.

DTInnovateDT
1 Source, 1h ago, first seen 1h ago

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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7

1 Source, first seen 1h ago

Combined views

7

1 Source, first seen 1h ago

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Sentiment

Positive——Negative

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1 Source

DTInnovate@FsInnovate@microsoft #Decision_1 claims faster output, similar accuracy to #GPT6Sol & smaller #H2OLightning_4B, at a much lower cost ($0.042 for million input tokens & free output). Model spits out calibrated probabilities via a structured API (something like Jev). Gets the job done but more importantly enterprise customers don't have to fret too much about security , governance & compliance layer. Best part: Trained off of @Alibaba_Qwen ; so that should put "China winning ONLY because it's distilling off of US' Frontier models" debate to rest.1h
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    1 Source

    DTInnovate@FsInnovate@microsoft #Decision_1 claims faster output, similar accuracy to #GPT6Sol & smaller #H2OLightning_4B, at a much lower cost ($0.042 for million input tokens & free output). Model spits out calibrated probabilities via a structured API (something like Jev). Gets the job done but more importantly enterprise customers don't have to fret too much about security , governance & compliance layer. Best part: Trained off of @Alibaba_Qwen ; so that should put "China winning ONLY because it's distilling off of US' Frontier models" debate to rest.1h
    Today's Rank

    #17

    Today's Rank

    #17