Microsoft releases decision model on Alibaba's Qwen

Microsoft-Decision-1 picks between fixed options instead of generating text, built on Alibaba's open-weight model and priced at $0.042 per million input tokens.

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Microsoft releases decision model on Alibaba's Qwen

Microsoft-Decision-1 picks between fixed options instead of generating text, built on Alibaba's open-weight model and priced at $0.042 per million input tokens.

In brief

Microsoft-Decision-1 picks between fixed options instead of generating text, built on Alibaba's open-weight model and priced at $0.042 per million input tokens. Microsoft released Microsoft-Decision-1, a decision model built on Alibaba's Qwen that selects between fixed options rather than generating text, entering a…

Microsoft builds decision model on Qwen

Microsoft released Microsoft-Decision-1 on October ninth. It picks between fixed answer options instead of writing text. Microsoft built it on Alibaba's open-weight Qwen three point five nine B model.

“Decision models are quickly emerging as an important new category in AI.”

What Microsoft-Decision-1 does

Given fixed options, the model returns a calibrated probability score for each one. It handles yes or no questions, multiple choice and ratings. It can grade AI responses and agent actions against a rubric.

Microsoft claims speed and accuracy wins

Microsoft-Decision-1 scored highest accuracy across thirty six benchmarks covering nearly one hundred fifty thousand questions.

Decision models market grows crowded

Input costs zero point zero four two dollars per million tokens.OpenAI's Decisions API is in public beta.Cloudflare, Strands, Liquid AI, Perplexity and Snowflake have announced decision models.

The one thing

Microsoft released Microsoft-Decision-1, a decision model built on Alibaba's Qwen that selects between fixed options rather than generating text, entering a crowded market with over one hundred competing models.

Read the original on The Next Web

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