Microsoft launches Decision-1 model for fast structured decision tasks
Microsoft has released Microsoft-Decision-1, a model built specifically for decision-scoring tasks like routing, classification, prioritization, verification, and workflow control. It is available now through Microsoft Foundry, with OpenRouter access coming soon. Microsoft reports the model topped a 36-benchmark comparison covering nearly 150,000 questions, running 4.5 times faster than the runner-up, Quyet-1.0-Large, and 35 times faster than GPT-6 Sol.
GoKawiil's interpretation of the reporting above, not reported fact.
By separating decision-making from open-ended text generation, Microsoft is positioning decision models as a distinct product category that could let developers embed cheap, low-latency automated judgments into existing apps and agent workflows. The emphasis on speed and accuracy over general reasoning suggests Microsoft sees a market for narrow, high-throughput classification tools that complement rather than replace LLMs. Independent verification of these benchmark claims has not been reported.
- Microsoft-Decision-1 targets structured tasks like routing, classification, and workflow verification rather than open-ended generation.
- Microsoft claims top accuracy across a 36-benchmark test set of nearly 150,000 questions.
- The model is up to 35 times faster than GPT-6 Sol and 4.5 times faster than the next-best decision model, according to Microsoft's own testing.
Source: commandline.microsoft.com — Lisa Brown Jaloza, 2026-10-09
Published there as: “Microsoft-Decision-1, our model for fast decision-making”
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