Microsoft-Decision-1
Microsoft-Decision-1 is an AI decision-scoring model designed for fast, high-performance structured decision tasks such as routing, classification, prioritization, verification, and workflow control. It delivers calibrated probabilities for fixed-option decisions in a single pass and is optimized for low latency and high accuracy. Post-trained from Qwen3.5-9B, it is about 35 times faster than GPT-6 Sol. It is available through Microsoft Foundry and OpenRouter for integration into applications and workflows.
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Checked Oct 22, 2026
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- Performance
- 53 out of 100, Needs improvement
- Accessibility
- 100 out of 100, Good
- Best Practices
- 100 out of 100, Good
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Around the Web
Interesting price point there m$ 😸 Exactly the same as JEV. Both at $0.042. And boasting 1.2 points higher accuracy and running roughly 2.8 times faster than TypeSafe AI's Jev model. Your move @Jev
alchemist_studio · Imported from Product Hunt
the part that worries me is "calibrated" becoming a permanent label instead of a measurement. calibration is true against the distribution you tested it on, and production traffic drifts from that distribution constantly. if my code is acting directly on the probability with no human reading the text first, I have no way to notice the moment the calibration quietly stops holding, I just get confidently wrong numbers that look exactly like confidently right ones. is there a way to monitor calibration drift in production, or is re-validating against a fresh labeled sample something teams are expected to build themselves
galdayan · Imported from Product Hunt