Microsoft Released Decision-Scoring AI Model
The new Microsoft-Decision-1 model is designed to optimize routing and classification tasks for enterprise workflows.
Updated on Oct. 12, 2026 in Artificial Intelligence
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Microsoft has launched Microsoft-Decision-1, a new decision-scoring model post-trained from Qwen3.5-9B. The tool provides probability-based answers for classification, verification, and workflow control tasks.
Why it matters
The model aims to improve operational efficiency by automating complex routing and prioritization tasks within business applications. Its release provides developers with a specialized tool to handle rating scales and multiple-choice questions at scale.
Microsoft-Decision-1 processes data through single-pass scoring via structured API calls. It supports yes/no and multiple-choice inputs, priced at $0.042 per million input tokens.
The players
Microsoft
The multinational technology corporation focuses on cloud computing, artificial intelligence, and personal computing software.
OpenAI
The artificial intelligence research organization collaborates with Microsoft on the development of large-scale language models.
The details
The model was evaluated across 36 benchmarks using 150,000 questions to verify its performance capabilities. It is currently available to users through both Microsoft Foundry and OpenRouter.
Timeline
October 12, 2026: The Microsoft-Decision-1 model was reported as generally available.
The Tech Race
The release of Microsoft-Decision-1 signals a move toward specialized, task-specific AI agents that operate faster and more reliably than general-purpose models. By leveraging the Qwen3.5-9B architecture, Microsoft is positioning its platform to displace traditional classification workflows.
Businesses and developers can utilize this model to reduce the cost and latency of automated decision-making processes in their applications. It provides a more consistent alternative for enterprise-grade classification and verification compared to using larger, general-purpose models.
The takeaway
Specialized decision-scoring models offer significant speed and cost advantages for routine enterprise operations. Adopting task-specific AI can help streamline workflows that require high-consistency verification and classification.
Further reading
For more information on current developments, visit the Artificial Intelligence section.
Source note: This article includes information reported by Help Net Security.
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