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

Microsoft released Decision-1, a decision model built on Qwen3.5-9B and optimized for fast classification and routing, which the company says reaches 83.5 percent accuracy at 85 ms latency across 36 benchmarks in its own tests. The model marks Microsoft's entry into the growing AI decision model space.

Microsoft's Decision-1 model enters the fast-growing AI decision model race By Matthias BastianSource: The Decoder https://the-decoder.com With Decision-1, Microsoft enters the growing decision model space. Built on Qwen3.5-9B and optimized for fast classification https://www.machinebrief.com/glossary/classification and routing, it hits 83.5 percent accuracy with 85 ms latency across 36 benchmarks, according to the company's own tests. The article Microsoft's Decision-1 model enters the fast-growing AI decision model race https://the-decoder.com/microsofts-decision-1-model-enters-the-fast-growing-ai-decision-model-race/ appeared first on The Decoder https://the-decoder.com . Get AI news in your inbox Daily digest of what matters in AI.