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Microsoft releases Decision-1, a decision model that uses Qwen3.5-9B

In the latency test of Microsoft, the model is 2.8 times as fast as Jev.

Claimed, not confirmed

This is a brief. We point to the report and do not rewrite it. Read it at the source below.

Microsoft-Decision-1: three claimed wins, one second place Microsoft's own claims: faster (2.5x vs H2O-Lightning-4B, 2.8x vs Jev), accurate (83.5%, 1st of 36 benchmarks), cheaper (20x vs GPT-6 Sol), and confidence 92.2%, 2nd behind Quyet-1.0-Large. Built on Alibaba's Qwen3.5-9B. Microsoft-Decision-1 Microsoft's own claims Faster 2.5x vs H2O-Lightning-4B 2.8x vs Jev Accurate 83.5% 1st of 36 benchmarks Cheaper 20x vs GPT-6 Sol Confidence 92.2% 2nd, behind Quyet-1.0-Large Built on Alibaba's Qwen3.5-9B
Microsoft's own claims for Microsoft-Decision-1, a decision model built on Alibaba's Qwen3.5-9B. It leads three tests and comes second in one.

Sources

  1. Microsoft leans on open weight model from Chinese AI lab to challenge Jevtheregister.com
AI MATTER · NEWS · AI MATTER · NEWS ·10 OCT2026

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