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Microsoft ships Microsoft-Decision-1 decision AI with 85ms response time
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Microsoft released a new AI decision model, Microsoft-Decision-1, that returns answers in 85 milliseconds, faster than a human blink at roughly 100 milliseconds. The post claims the model scores 92.2 on calibration, where 100 means confidence perfectly matches accuracy. The timing follows TypeSafe, a startup publicly active for 24 days, closing an $870 million Series A at a $7.5 billion valuation, up 37x from its mid-September seed round at $200 million. TypeSafe launched its Jev decision model on September 15, and by October 1 OpenAI, Cloudflare, AWS, and Perplexity had shipped competing decision-model offerings. Jev charges $0.042 per million input tokens with free output, while frontier LLMs take about 3 seconds on tasks the new Microsoft model clears in 85 milliseconds.
Source report
Microsoft has shipped an AI model that makes decisions faster than a human blink. A blink takes about 100 milliseconds; this one takes 85.
A Category Born in Weeks
The timing of the announcement was no accident. Hours before the post went live, a startup called TypeSafe closed an $870 million Series A at a $7.5 billion valuation. TypeSafe has existed publicly for just 24 days. Its seed round in mid-September valued the company at $200 million — a 37x jump in under a month, for inventing the exact category Microsoft is now positioning itself on top of.
What Is a Decision Model?
For those unfamiliar with these models: a decision model doesn't chat. You give it a bounded question — "is this transaction fraud," "which team owns this bug" — and it returns an answer plus a probability in a fraction of a second. Software acts on it directly. Nobody reads a paragraph first.
This category did not exist on September 14.
A Crowded Field in One Month
- TypeSafe launched Jev on September 15.
- By October 1, OpenAI had released a Decisions API.
- Cloudflare shipped Clef with free downloadable weights and a 39-millisecond response time.
- AWS and Perplexity had their own versions live.
Now Microsoft is chasing the accuracy lead. Five of the biggest names in tech are pursuing a one-month-old startup — a signal of how much money they believe sits in this layer.
The Economics of Cheap Decisions
The pricing dynamics are striking. Jev charges $0.042 per million input tokens, with output costing nothing. Meanwhile, a frontier LLM grinds for three full seconds on tasks the new Microsoft model clears in 85 milliseconds. When a decision costs basically nothing and takes basically no time, decisions stop being rationed. Every support ticket and every log line can get its own ruling as it happens.
Calibration: The Score That Matters
The column worth staring at on Satya Nadella's chart is calibration. Consider two new hires: one is right 83% of the time and tells you exactly when she's unsure; the other is right 95% of the time and delivers every answer with total confidence. The first can be handed real responsibility. The second must be babysat forever, because you never know which answers are the rotten ones.
Microsoft-Decision-1 scores 92.2 on calibration, where 100 means the model's confidence perfectly matches how often it's right.
That's the score that decides whether a human still has to sit next to the machine.
Source
aakashguptaNeutral / independent
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Microsoft releases Decision-1 AI model, claiming 83.5% JevBench score and 85ms latency