微软 Decision-1 模型加入快速增长的 AI 决策模型竞赛
原标题：Microsoft's Decision-1 model enters the fast-growing AI decision model race
AI 摘要
微软推出决策模型 Decision-1，基于 Qwen3.5-9B 构建，用于分类、评估和路由决策，并有望引导和控制复杂环境中的智能体。微软称其在覆盖近 15 万个问题的 36 项基准测试中准确率最高，速度是第二名 H2O-Lightning-4B 的 2.5 倍。该模型通过 Microsoft Foundry 和 OpenRouter 提供，输入 token 每百万 0.042 美元，输出 token 免费。此举延续了由初创公司 Jev 在 9 月中旬掀起的决策模型趋势，但该技术很快被开源小语言模型改编并超越。
正文节选
Microsoft's Decision-1 model enters the fast-growing AI decision model race 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 acros