模型多源确认
微软发布Decision-1决策模型
Microsoft's Decision-1 model enters the fast-growing AI decision model race
精选理由
微软新出的Decision-1模型速度快、准度高，专门做决策分类，和Qwen3.5-9B比有优化。
微软推出Decision-1决策模型，基于Qwen3.5-9B构建。该模型在36项基准测试中达到83.5%的准确率，延迟仅为85毫秒。微软优化了该模型以实现快速分类和路由功能。
原文 · Decoder
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. The article Microsoft's Decision-1 model enters the fast-growing AI decision model race appeared first on The Decoder .
