Microsoft AI Releases Microsoft-Decision-1: A Qwen3.5-9B Decision-Scoring Model
Quick Answer
Microsoft has launched Microsoft-Decision-1, a decision-scoring model derived from Alibaba's Qwen3.5-9B.
Quick Take
This model focuses on routing, classification, verification, and agent control, providing calibrated probabilities for fixed answer options instead of generating text. It is now available in Microsoft Foundry and OpenRouter.
Key Points
- Microsoft-Decision-1 is designed for routing, classification, verification, and agent control.
- The model provides calibrated probabilities for fixed answer options.
- It is post-trained from Alibaba’s Qwen3.5-9B model.
- Available now in Microsoft Foundry and OpenRouter platforms.
- This model enhances decision-making processes in AI applications.
Article Excerpt
From source RSS / original summaryMicrosoft has released Microsoft-Decision-1, a decision model for routing, classification, verification and agent control. Microsoft-Decision-1 is a decision-scoring model that returns a calibrated probability for each fixed answer option instead of generated text. It is post-trained from Alibaba’s Qwen3. 5-9B and available now in Microsoft Foundry and OpenRouter.. TL;DR What is a decision model? A […] The post Microsoft AI Releases Microsoft-Decision-1: A Qwen3.
5-9B Decision-Scoring Model appeared first on MarkTechPost.
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from MarkTechPost
See more →JetBrains Releases Mellum2.1: A 12B MoE Open Model for Coding Agents
JetBrains has launched Mellum2.1, a 12B mixture-of-experts model featuring 2.5B active parameters. This model achieved a significant Verified score increase from 2.0 to 47.0 through reinforcement learning applied in real repositories, enhancing coding agent capabilities.