Decision scoring
The model is purpose-built to score decisions and return structured outputs that software can use in downstream logic.
Microsoft-Decision-1
Microsoft-Decision-1 is a decision-scoring AI model for structured outputs used in routing, classification, prioritization, verification, and workflow control. It is documented as available through Microsoft Foundry and OpenRouter.
Overview
Microsoft-Decision-1 is a decision-scoring model from Microsoft for structured decision tasks. Unlike language models designed mainly to generate text or reason through complex problems, it is intended to produce structured outputs that software can act on directly.
The model targets routing, classification, prioritization, verification, and workflow control. Microsoft says it is available through Microsoft Foundry and OpenRouter, and reports benchmark results focused on accuracy, latency, and calibration. Detailed setup instructions, output formats, pricing, and deployment limitations are not provided in the available source.
Key features
Classification support
Microsoft positions the model for sorting inputs into categories, supporting automated classification workflows.
Low-latency processing
It is designed for low-latency decision tasks, with the announcement reporting faster measured performance than the compared models in its benchmark.
Routing and workflow control
The model can help select paths or actions in software systems by supporting routing and workflow-control decisions.
Prioritization and verification
The announced use cases include prioritization and verification, allowing applications to rank items or check decisions as part of an automated process.
Documented availability
Microsoft-Decision-1 is offered through Microsoft Foundry and OpenRouter, providing the documented access points for using the model.
Use cases
Application routing
Use structured model decisions to direct incoming requests, records, or events to the appropriate software path or handler.
Automated classification
Apply model-generated classifications where an application needs to assign inputs to predefined categories before taking a downstream action.
Prioritization workflows
Rank or order items so systems can focus attention or processing on higher-priority cases first.
Decision verification
Add a verification step that checks classifications or other structured decisions before they move through an automated workflow.
Workflow control
Use decision outputs as control signals for branching, gating, or other workflow logic inside an application or agent.
Pros and Cons
Pros
- Purpose-built for structured decisions that downstream software can act on.
- Covers several operational patterns: routing, classification, prioritization, verification, and workflow control.
- Microsoft reports top accuracy in its 36-benchmark comparison and the fastest measured latency in that comparison.
- Available through Microsoft Foundry and OpenRouter, as stated in the announcement.
Cons
- The available announcement does not document the model’s exact output schema, setup workflow, pricing, or usage limits.
- Its stated focus is structured decision-making rather than open-ended text generation, so it may not be the appropriate fit for general-purpose conversational or generative tasks.
FAQ
Where is Microsoft-Decision-1 available?
Microsoft-Decision-1 is available through Microsoft Foundry and OpenRouter, according to the product announcement.
What types of tasks is Microsoft-Decision-1 designed for?
The model is intended for structured decision tasks, including routing, classification, prioritization, verification, and workflow control. The source does not provide setup instructions or a detailed output schema.
How does Microsoft-Decision-1 differ from a general-purpose language model?
Microsoft describes it as a decision-scoring model that produces structured outputs software can act on, rather than a general-purpose model primarily intended to generate text.
What performance evidence does Microsoft report?
The announcement reports results from a 36-benchmark comparison covering nearly 150,000 questions held blind from training. It reports the fastest measured latency in that comparison, but does not provide a complete methodology or deployment specification in the available source.
Quick Facts
- Category
- Decision-scoring AI model
- Publisher
- Microsoft
- Documented access
- Microsoft Foundry and OpenRouter
- Primary tasks
- Routing, classification, prioritization, verification, and workflow control
- Reported evaluation
- 36 benchmarks and nearly 150,000 questions held blind from training
- Announcement date
- October 9, 2026
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