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Flash·Models & Products·2026-10-11 02:10

Microsoft Launches Decision-1, a Decision Model That Outputs Calibrated Probabilities, Not Text

Microsoft CEO Satya Nadella unveiled Microsoft-Decision-1 on X on October 9, a model that does not output text and is built to score decisions fast inside agent workflows.

HIMIAO Horizon·2026-10-11 02:10·1 min read

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Bright data center corridor with a Decision-1 decision flowchart on screen
Microsoft Decision-1: calibrated probabilities in a single forward pass.

What happened

Microsoft CEO Satya Nadella announced Microsoft-Decision-1 on X on October 9. It is a decision-only model post-trained on Alibaba's Qwen3.5-9B: given a fixed set of options, it runs a single forward pass and outputs a calibrated probability for each option, without generating text.

The figures Microsoft published are self-reported: first place across 36 benchmarks and nearly 150,000 blind-test questions; P50 latency about 1/35 of GPT-6 Sol and 2.8 times faster than TypeSafe Jev.

Key facts

  1. Base: Alibaba Qwen3.5-9B, post-trained
  2. Output: calibrated probabilities over fixed options, no text
  3. Pricing: $0.042 per million input tokens, output free; 58% cheaper than OpenAI's Decisions API
  4. Speed: P50 latency about 1/35 of GPT-6 Sol (company figures)

Why it matters

Decision-1 outputs no text: a single forward pass returns calibrated probabilities for scoring decisions in agent workflows, reportedly 35x faster at P50 and 58% cheaper.
Useful Tap if this story helped you

CompaniesMicrosoft

SourcesNeowin (2026-10-10, citing Nadella's post on X)

From HIMIAO Horizon · himiao.ai

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