Microsoft-Decision-1
Product Hunt Rohan Chaubey ● Covered by 6 sources
Microsoft launched a model for choosing between fixed options and scoring them. It says the thing is 35x faster than GPT-6 Sol and already in Foundry.
Based on reporting by Product Hunt, Rohan Chaubey — read the original for the full story.
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Microsoft-Decision-1 is not trying to be a chatty all-purpose model. It’s built for the dull but important jobs: routing, classification, verification, and agent control. You give it a fixed set of options, and it returns a calibrated probability for each one in a single pass.
That matters because the output is structured, which means software can use it directly instead of trying to parse a rambling answer and hope for the best. Microsoft says the model is post-trained from Qwen3.5-9B, which puts it in the familiar pattern of taking an existing base model and tuning it for a narrower task.
The company is also leaning hard on speed. Microsoft says Microsoft-Decision-1 is about 35x faster than GPT-6 Sol at median latency. That’s the kind of claim that tends to get attention in enterprise settings, where a model that is merely good but painfully slow is often less useful than one that is a little less dramatic and a lot more immediate.
It’s available now in Microsoft Foundry, priced at $0.042 per million input tokens with free output. So this is a utility launch, not a spectacle: a model meant to sit in the middle of systems and make decisions cheaper, faster, and more predictable.
My take — AI-written commentary, not fact-checked reporting
This is the kind of AI product that actually earns its keep: boring, narrow, and useful. The industry spends a lot of time worshipping grand chatbots, while the real money is often in models that make routing and verification less annoying. The glamour crowd can keep their demos; teams building software usually want the boring machine that just decides.
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