Post
CommunityJev Media & Talks
Microsoft-Decision-1
Microsoft's announcement of Microsoft-Decision-1, a model for fast decision scoring built for routing, classification, prioritization, verification and workflow control, available in Microsoft Foundry and through OpenRouter. Published 2026.10.09.
- Format
- Post
- Reading time
- 2 min
- Published by
- Community
- Author
- Microsoft
- Last verified
- Oct 2026
Used inJev for Software & DevTools
- Platforms
- APIOpenRouter
Highlights
- Positioned for routing, classification, prioritization, verification and workflow control, in Microsoft Foundry and through OpenRouter.
- Claims the highest accuracy across a 36-benchmark comparison covering nearly 150,000 questions kept blind from training.
- Claims the fastest measured: 2.5 times quicker than H2O-Lightning-4B v1.1 and 35 times quicker than GPT-6 Sol.
- An editor's note says the post was updated from the original to add benchmarks for Jev on accuracy and calibration.
- By Achint Srivastava, VP of Software Engineering, Office of the CTO, dated 2026.10.09.
Watch out
Grounded on the captured article text dated 2026.10.09; the page also carries a large base64-encoded payload that was not decoded, and the benchmark claims, including the figures against H2O-Lightning-4B v1.1 and GPT-6 Sol, are Microsoft's own. The capture does not include pricing, context limits or the full benchmark table.
Questions about this entry
Short answers drawn from the linked project or page.
Microsoft's decision-scoring model, introduced as purpose-built for structured outputs that software can immediately act on, unlike LLMs that generate text or reason through problems. The post says it is designed for routing, classification, prioritization, verification and workflow control.
It is available in Microsoft Foundry and through OpenRouter, per the announcement. The post frames this as making decision intelligence easy to add to existing applications, agents and workflows in a secure, trusted environment.
The highest accuracy in a 36-benchmark comparison spanning nearly 150,000 questions kept blind from training, and the fastest measured: 2.5 times quicker than H2O-Lightning-4B v1.1, the runner-up, and 35 times quicker than GPT-6 Sol.
It is a competing decision model, and the post's editor's note says it was updated from the original to add benchmarks for Jev on accuracy and calibration, so Microsoft compared against Jev directly. The captured text does not include those Jev numbers.
Achint Srivastava, VP of Software Engineering in Microsoft's Office of the CTO, in a Command Line post dated 2026.10.09. The publication describes itself as by builders, for builders.
LLMs are built to generate text or reason through complex problems, while decision models deliver structured outputs software can act on immediately. The post argues that making decisions and classifying at very low cost with high performance unlocks many useful tasks.
Pricing, context limits, licence terms and the full benchmark table were not captured; the page also carries a large base64-encoded payload that was not decoded. All performance and speed figures here are Microsoft's own claims from the announcement.
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