Microsoft-Decision-1 makes decisions 35 times faster than GPT-6 Sol
Microsoft-Decision-1, our model for fast decision-making
Microsoft introduces Microsoft-Decision-1, a new model for fast decision-scoring that outperforms LLMs on structured tasks. It achieves top accuracy across 36 benchmarks with nearly 150,000 questions, and is 4.5 times faster than the runner-up and 35 times faster than GPT-6 Sol. Available in Microsoft Foundry, it supports routing, classification, prioritization, verification, and workflow control, enabling efficient decision intelligence in applications and agents.
Microsoft-Decision-1 delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models.
- nejch
This is based on one of the smaller Qwen models, just like Cloudflare's Clef, Strands decider, and a plethora of others released in the last couple of weeks.
Kind of funny how much hype they can all get out of this, but Qwen really is the little engine that could. Great to see open weights (if not open source) driving the whole ecosystem like this though.
- Topfi
In my minimal suite it was cheaper (by 0.72x) but higher latency (283ms vs 369ms p50) than Jev. Results were very comparable across all scenarios I measure, first of these that I have tested that actually justifies its existence as a commercial release.
Qwen tunes are nice and all but either price or performance makes each example I have tested not viable unless you are able to cheaply self-host and fine-tune further.
- chris_money202
Microsoft is doing things differently with AI. It feels to me they are moving into local inference heavily and see a future where Windows has native AI APIs that run locally or optionally in the cloud/edge.
- fredsmith219
The article talks about using the decision model in code, but could it be used to help indecisive people with everyday life, decision decisions? I know a few and they could really use help.
- prometheus1992
why wouldn't they benchmark the accuracy against jev too?