Microsoft separates decision-making from generative AI with a new model

Microsoft has launched Decision-1, an AI model that returns probabilities for predefined answers, allowing software applications to use its outputs directly instead of processing a free-form response from a large language model (LLM). The model targets tasks such as classifying requests, prioritizing incidents, and checking AI-generated responses. Microsoft says it can handle these decisions with lower costs and latency than approaches that rely on general-purpose LLMs. “Instead of writing a free-form response, it takes a fixed set of answer options and returns a calibrated probability for each one in a single pass,” Microsoft said in a blog post. Microsoft-Decision-1 is available through Microsoft Foundry and OpenRouter, according to the company. Microsoft built the model by post-training Qwen3.5-9B and said it plans to rebase it on other models, including Microsoft AI (MAI) and OpenAI models. Model targets specific decisions Decision-1 supports yes-or-no judgments, choices among predefined options, ratings, and rubric-based assessments of AI responses and agent actions, Microsoft said. Developers can use its outputs to classify inputs, rank work, verify responses, or determine t…

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