As of: 2026-10-12 22:30 CEST.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code). Human editor: Adam Bicz.
Canonical page: https://postcutoff.com/v/satya-nadella-microsoft-decision-1-launch-x/

# Introducing Microsoft-Decision-1

Satya Nadella (@satyanadella), 9 October 2026, X (launch video). 1,642,030 views as of 12 October 2026.
Kind: Official.
Watch: https://x.com/satyanadella/status/2108627923888754862

## Why it is here

Satya Nadella's launch post for Microsoft-Decision-1 with a 10-second video (~1.64M views, fxtwitter, Oct 12); the official announcement of the model.

## Description (written by Gemini from the video)

**Summary**  
This video is a silent graphic presentation shared by Satya Nadella announcing the launch of Microsoft-Decision-1. It presents a benchmarking dashboard comparing Microsoft-Decision-1 against competing decision models on accuracy, latency, and calibration across 35 benchmark evaluations.

**What is shown**  
- **[00:00–00:02]** An interactive benchmark chart sorted by **Accuracy**, ranking Microsoft-Decision-1 at the top with 83.5% average accuracy across 35 benchmarks, followed by Qwen3.10-Large (81.9%), Surrogate Ruixi-26B-A4B (79.7%), GPT-6 Luna Decisions (79.4%), dock-31B (77.9%), H2O-Lightning 4B v1.1 (77.2%), and Strands-Decider 2B (50.8%).
- **[00:03–00:04]** The dashboard toggling to sort by **Latency**, ranking Microsoft-Decision-1 first with an adjusted median latency of 210 ms (p50: 85 ms, p95: 520 ms), followed by H2O-Lightning 4B v1.1 (210 ms), Jev 1.1.0 (260 ms), Surrogate Ruixi-26B-A4B (310 ms), Qwen3.10-Large (380 ms), GPT-6 Luna Decisions (388 ms), dock-31B (480 ms), and GPT-6 Sol (3.86 s).
- **[00:05–00:07]** The dashboard sorting by **Calibration** (scaled to 100 as perfect), ranking Qwen3.10-Large first at 93.1, followed closely by Microsoft-Decision-1 in second place at 92.2, H2O-Lightning 4B v1.1 at 91.4, Surrogate Ruixi-26B-A4B at 89.8, GPT-6 Luna Decisions at 89.1, and dock-31B at 83.5.
- **[00:08–00:09]** The interface toggling back to the Accuracy sort view.

**Claims & numbers**  
- **Accuracy:** The graphic claims Microsoft-Decision-1 achieves 83.5% average accuracy across 35 benchmarks in the MS-D1 question set, ranking first overall.
- **Latency speedup:** The graphic claims Microsoft-Decision-1 is "the fastest measured," being 4.5× quicker than runner-up Qwen3.10-Large and 15× quicker than GPT-6 Sol (reporting a median latency of 210 ms with p50 of 85 ms and p95 of 520 ms measured through Azure Foundry).
- **Calibration:** The graphic claims Microsoft-Decision-1 scores 92.2 on calibration, finishing second overall, 0.9 points behind Qwen3.10-Large (93.1).

**Notable quotes**  
- **[00:01]** *"Microsoft-Decision-1 is first on accuracy and the fastest measured, 4.5× quicker than Qwen3-10-Large, the runner-up, and 15× quicker than GPT-6 Sol. Second on calibration, 0.9 behind Qwen."* (on-screen text)
- **[00:01]** *"Accuracy: mean score across 35 benchmarks (MS-D1 question set), in the Jev-style task leaderboard posted in October 2026."* (on-screen footnote)
- **[00:02]** *"Calibration: 100 means a model's confidence exactly matches how often it is right."* (on-screen footnote)

**Assessment**  
This is an official promotional infographic video presenting comparative evaluation results. It presents model metrics and benchmark comparison slides rather than a live code demo or developer interactive session.

_Described by gemini-3.8-flash on 2026-10-12 from the video's audio and frames._

## Related

- 2026-10-09: [Microsoft-Decision-1 decision model](https://postcutoff.com/e/2026-10-09-microsoft-decision-1/)

## People in it

- [Satya Nadella](https://postcutoff.com/person/satya-nadella/), Chairman and CEO, Microsoft