AI news Oct 10, 2026

Today · event date October 9

Microsoft builds Decision-1 on Qwen; it didn't say why

Microsoft's new small decision model, Decision-1, is built on Alibaba's open-weight Qwen3.5-9B

Why this matters to you: Microsoft built a narrow-task model on Alibaba's Chinese open-weight Qwen; if your team rules out base models by country of origin, a major US vendor just didn't, though it gave no reason. Ask your own vendors which base their models use.

Microsoft CEO Satya Nadella released Microsoft-Decision-1 on October 9, a small model built for routing, classification and verification: jobs where the model outputs only a structured choice that a program can act on directly (Satya Nadella, 2026-10-09). Routing means deciding which model or tool a request goes to. The official blog says the base model is Qwen3.5-9B; open-weight means the model's parameter files are public for anyone to download and run themselves. The blog also says Microsoft plans to move later to other bases, including Microsoft AI's and OpenAI's. A token is the unit AI models use to measure text, roughly a few characters, and usage is billed per token. Pricing is US$0.042 per million input tokens, and the blog says output tokens aren't charged. We take that to mean the output is just a short label, though that is our reading, not Microsoft's (Microsoft, 2026-10-09). The same day Newcomer, a tech and venture-capital newsletter, quoted an anonymous investor: portfolio startups rarely care which country an open model comes from, except those handling sensitive trade or government data (Newcomer, 2026-10-09).

Verification: The base model and the pricing come from Microsoft's own blog; we read a tool's summary of it, not the page word for word. The 36 self-reported benchmarks and the "about 35 times faster than GPT-6 Sol" claim compare against a general-purpose large model doing a narrow task, and all of it is self-reported. Microsoft didn't say why it chose Qwen. Newcomer's investor is anonymous and offers no data.

Judgment update: With Microsoft as the only instance, we log this judgment at confidence 0.4 for now: at the narrow-task layer, which base model a product is built on, and which country built that base, may no longer be a main selection criterion for major vendors; the competition may be moving to post-training (tuning a general model for one job) and distribution. Microsoft itself says it plans to switch to other bases later, so picking Qwen may also be a stopgap.

What would prove this wrong: The next version of Decision-1 moves to Microsoft's own or OpenAI's base with comparable performance; or another major US vendor explicitly excludes Chinese base models in its procurement rules.