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.

what in the michaelsoft binbows? micro$oft actually naming a product clearly and concisely? Is the team office hidden in a far building wing that marketing hasn't found yet?

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.

why wouldn't they benchmark the accuracy against jev too?

> To build Microsoft-Decision-1, we post trained Qwen3.5-9B for fast, single-pass decision scoring and will soon rebase it on other models, including Microsoft AI (MAI) and OpenAI.

I guess the fear of Chinese models is finally subsiding.

I don't see any API documentation for this yet. How can someone actually try it? Did they rush this out for hype?

While this looks like a contribution from a capable team trying to impress senior leadership, for me personally the Microsoft brand is so badly tarnished I don't even feel negative emotions any more - just pity.

But what about when the government's AI skills amount to: "is this DEI, only answer yes or no"