Microsoft Decision-1 决策模型加入 AI 决策模型竞争
Microsoft's Decision-1 model enters the fast-growing AI decision model race
Microsoft推出决策模型Decision-1，基于Qwen3.5-9B，用于分类、评估和路由决策。Microsoft称，该模型在覆盖36个基准、近150,000道问题的测试中准确率最高，速度比第二名H2O-Lightning-4B快2.5倍；其对比结果为83.5%准确率、85 ms延迟。
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 models, which are also based on Qwen, weren't included in the comparison.
Decision-1 is available through Microsoft Foundry and OpenRouter. Input tokens cost $0.042 per million, and output tokens are free. Jev, the startup that kicked off the decision model trend in mid-September, has likely had a rough few weeks. The idea caught on fast, but the tech was quickly adapted and surpassed using open small language models.
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来源：The Decoder · the-decoder.com