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Microsoft's Decision-1 model enters the fast-growing AI decision model race

With Decision-1, Microsoft enters the growing decision model space. Built on Qwen3.5-9B and optimized for fast classification and routing, it hits 83.5 percent accuracy with 85 ms latency across 36 benchmarks, according to the company's own tests.

Tarun Mottlia

Via The Decoder

·Excerpt
Microsoft's Decision-1 model enters the fast-growing AI decision model race
Image: Microsoft's benchmark comparison puts Decision-1 at the top with 83.5% accuracy and 85 ms latency, ahead of Jev 1.13.0. | Image: Microsoft

Microsoft now has its own decision model. Like the ones from OpenAI, Cloudflare, and the "original" from Jev, Decision-1 is built for fast, structured decisions. According to Microsoft, it handles classifications, evaluations, and routing decisions and has "the potential" to "guide and control agents through complex environments."

Decision-1 is based on Qwen3.5-9B. Microsoft says it's the most accurate model tested across 36 benchmarks covering nearly 150,000 questions. On speed, it's 2.5 times faster than the runner-up, H2O-Lightning-4B. Cloudflare's open-source Clef…

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