Microsoft Decision-1 Explained: When to Use a Decision Model Instead of an LLM
Author: labgoai editorial team (checked against primary sources) Published: October 11, 2026 Facts last checked: October 11, 2026 Should a business call a large language model every time it needs to route a support ticket, rank an incident, or decide whether an AI agent may take the next step? Microsoft-Decision-1, announced on October 9, 2026, is built for a narrower job. Instead of writing a long response, it scores a fixed set of options and returns structured probabilities that software can use. The practical answer is simple: consider a decision model when the choices are already defined and the output must feed directly into a workflow. Use a generative LLM when you need writing, summarization, translation, explanation, or open-ended reasoning. This guide explains the difference, the published price, realistic use cases, a cost example, and the checks a small team should run before automating anything. Key Takeaways Microsoft-Decision-1 returns choices, ordered scores, o...
