Oh, even Microsoft can deliver tiny decision models xitter.cf/msdev/status/210863716…
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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By the power of @Alibaba_Qwen , @Microsoft got a new model.
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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Salió la alternativa a jev de parte de @msdev
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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Now everyone is Jev's Competitor!
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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System One models are getting more options. Competition is good.
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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The more the merrier. Jev and Laya got a new buddy.
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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お、MSもJev的なモデル参入か
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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jevと似てるけど性能どうかな試してみよ。
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マイクロソフトが判定AIを公開 精度や速度は既存のAIより圧倒的っぽい 先月「Jev」が公開されて話題になったばかりなのに、大手がすぐに上位互換のAIを出してきた これを見ると、新しいプロダクトを作ってもすぐに模倣されて勝てない可能性が高く、リスクだと思った
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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选择题这条赛道,巨头也下场了 微软上线 Microsoft-Decision-1:不写长文,只从给定选项里打概率分,给 Agent 做路由、审核、分类。底座是 #通义千问 Qwen3.5-9B 后训练,Foundry 现已可用。 微软自称比 GPT-6 Sol 快约 35 倍,输入约 0.042 美元/百万 token,输出免费。后续还说会换底座,包括自家 MAI 和 OpenAI 模型。 同一天,做决策模型 #Jev 的 #TypeSafe 融到约 8.7 亿美元、估值约 75 亿。很多人记得的是 Jev,不是公司名——它要解决的也是:别每一步都叫大模型写小作文。 Agent 跑一遍要过很多次判断。用专门的决策模型,又快又便宜。底座先用了千问,像不像对中国开源小模型的一次点头?微软没明说,但中文读者很难不注意到。
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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Microsoft-Decision-1 是微软基于开放权重的 Qwen3.5-9B 后训练推出的决策模型,面向分类、路由、评分和 Agent 流程控制。开发者提供背景、问题和固定候选项,模型通过一次推理返回各选项的校准概率,供应用决定继续、重试、转交或人工复核。它仅接受文本,支持 32,768 tokens 上下文,输出结构化评分,不生成解释或长篇回答。截至 2026 年 10 月 10 日,该模型以托管 API 提供,尚未官方开源或公开权重;Foundry 将其许可标为 custom,适用 Azure 服务条款。 微软公布的准确率评测覆盖 36 项基准、147,137 道题,Microsoft-Decision-1 的平均准确率为 83.5%,高于 Quyet-1.0-Large 的 81.9%。在 8 种输入扰动测试中,其决策改变率平均为 1.3%。这些结果反映的是指定决策任务上的表现,不能直接推广为通用能力排名。 延迟采用另一套测量口径:微软通过 Foundry 同区域调用测得中位延迟 85 毫秒、P95 延迟 125 毫秒;与文章引用的 GPT-6 Sol 中位延迟 3,010 毫秒相比,耗时约为其 1/35。在 Xbox 的反馈分类测试中,微软还报告其质量与 GPT-6 Sol 相近,处理速度超过其 14 倍、成本约为其 1/200。这些倍数对应具体测试条件,并非所有应用的统一收益。 目前可通过 Microsoft Foundry 和 OpenRouter 使用,标价为每百万输入 tokens 0.042 美元,输出免费。OpenRouter 使用专门的 Decisions API,接入时需要采用其结构化决策请求格式。 原文:commandline.microsoft.com/mi…
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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Jevより安いのは偉いなぁ。でも性能は私の用途だと微妙ぽい。Qwen3.5-9Bベースだから?
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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MSはvLLMとは言わんからWindows GUIのメタ情報やWinカーネルのメモリ情報を入れたら高速にComputer Use用の意思決定が出力されるようなDecision Modelを作る勝ち筋があると思う
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Microsoft acaba de sacar su propio Jev. Jev (TypeSafe) fue el primero en abrir esta categoría en septiembre: modelos que no escriben texto, deciden. Reciben opciones fijas y devuelven una probabilidad. Hoy Microsoft lanza Microsoft-Decision-1, post-entrenado sobre Qwen3.5-9B. Mismo trabajo: routing, clasificación, priorizar, verificar y frenar o dejar pasar un paso de un agente. Esto sumando al modelo Clef de Cloudflare, y Decisions de OpenAI, basicamente ya establece que son una nueva categoria de Modelos de IA para quedarse
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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Microsoft からも意思決定モデルが Jev どうなる🥹
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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マイクロソフトからも意思決定モデルがきた! 早さに自信があるっぽい!
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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Ahhh decisions decisions!!!! I said this before and I'll say it again... it's a great time to be a builder 🙌🏾🙌🏾🙌🏾
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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MS版Jev?
Introducing Microsoft-Decision-1 Our model for fast decision-making that delivers top performance in latency and quality on structured decision tasks to outperform both LLMs and other decision models. commandline.microsoft.com/mi…
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