Decision model like Jev that returns calibrated probability scores for yes/no, multiple-choice and rating options, plus rubric grading of AI responses and agent actions. Claimed slightly higher accuracy.
Microsoft's small decision-scoring model returning calibrated probabilities for routing, classification and rubric grading.
Updated EU status checked Last shown
Microsoft Decision 1 at a glance
- What is Microsoft Decision 1?
- Microsoft Decision 1 is a model from Microsoft. Microsoft's small decision-scoring model returning calibrated probabilities for routing, classification and rubric grading.
- Who makes Microsoft Decision 1?
- Microsoft Decision 1 is made by Microsoft.
- Does Microsoft Decision 1 work in the EU?
- Unverified. No explicit evidence found. The model is offered via Microsoft Foundry and OpenRouter, but the provided pages give no region or EU availability details. Last verified 14 Nov 2026.
- How much does Microsoft Decision 1 cost?
- API pricing. Offered via Microsoft Foundry and OpenRouter; specific prices not given in the provided material. Microsoft claims it is about 200x cheaper than GPT-6 Sol on an Xbox labeling task.
- Where was Microsoft Decision 1 shown?
- In 1 creator video by Matt Wolfe. Most recently by Matt Wolfe on 16 Oct 2026, at 21:52 in “AI News: 6 New Models & A Nano Banana Killer”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
Microsoft-Decision-1 is a decision model from Microsoft, built by post-training Qwen3.5-9B for fast, single-pass decision scoring. Given a fixed set of answer options, it returns a calibrated probability score for each option. It supports yes/no, multiple-choice and rating options, as well as rubric-based grading of AI responses and agent actions, through a structured API call.
Microsoft positions it for routing, classification, prioritization, verification and workflow control inside applications, agents and workflows. According to Microsoft's own benchmarks (36 benchmarks, nearly 150,000 questions kept blind from training), it had the highest accuracy and lowest latency among compared models, about 2.5x faster than H2O-Lightning-4B v1.1 and about 35x faster than GPT-6 Sol. It reportedly flips its decision on 1.3% of input perturbations. These figures are vendor-reported and not independently verified here.
It is available through Microsoft Foundry and OpenRouter. Microsoft says it plans to rebase the model on other models, including Microsoft AI (MAI) and OpenAI models. Internal uses cited include labeling game feedback for Xbox Research, quality control of Copilot responses, incident-response knowledge retrieval and adaptive replanning in Microsoft Discovery. It outputs structured scores rather than free-form text.
- Calibrated probability score for each answer option
- Supports yes/no, multiple-choice and rating decisions
- Rubric-based grading of AI responses and agent actions
- Single-pass structured API call with low latency
- Post-trained from Qwen3.5-9B
- Available in Microsoft Foundry and OpenRouter
As seen on YouTube
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