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微软与 DeepSeek 的关系，主要体现为微软在 Azure AI Foundry（现 Microsoft Foundry）等开发平台提供 DeepSeek 模型，而不是已获证实的独家合作或合资关系。按微软模型生命周期页面在 2026 年 10 月 7 日显示的信息，DeepSeek V4 Flash、V4 Pro 处于 GA（正式可用）状态，多个旧版 R1 已退役；因此，今天考虑部署时应看具体型号和生命周期，而不能只依据 2025 年 R1 上架的消息。
微软和 DeepSeek 是什么关系？
微软为开发者提供通过其云平台访问、测试和集成 DeepSeek 模型的途径。微软在 2025 年宣布 DeepSeek R1 加入 Azure AI Foundry 模型目录和 GitHub；后来，DeepSeek V4 Flash 与 V4 Pro 也加入 Microsoft Foundry。微软当时称 Foundry 目录有“over 1,800 models”，这是 2025 年公告中的目录规模描述，不代表当前数量。微软 2025 年 R1 公告
这些上架公告能证明平台集成，不能据此称微软与 DeepSeek 存在独家合作、股权关系、合资或联合研发。更准确的理解是：微软把 DeepSeek 纳入其多模型开发平台，用户可以按任务、部署方式和运营要求选择模型。微软对 V4 上架的说明也强调系统设计以及在质量、速度和成本之间编排模型；这不等于已经证明 V4 在任何特定任务上更便宜或表现更好。微软 Azure 博客公告
哪些 DeepSeek 型号目前可用？
模型目录和生命周期会变动。以下状态依据微软生命周期页面在 2026 年 10 月 7 日显示的信息；部署前应查看该页面的最新条目和所在地区的服务可用性。Microsoft Foundry 模型生命周期
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| 型号 | 页面所列状态 | 需要留意 |
|---|---|---|
| DeepSeek V4 Flash | GA | 正式可用型号。 |
| DeepSeek V4 Pro | GA | 正式可用型号；微软生命周期表将其列为 DeepSeek-R1 版本 1 的替代型号。 |
| DeepSeek V4 Flash 0731 | Preview | 微软不建议在生产环境使用 Preview 型号；预览部署可能升级到后续预览版或最新稳定版。 |
| DeepSeek V3.2、V3.2-Speciale | GA | 正式可用型号，具体部署可用性仍以账户和区域为准。 |
| DeepSeek-R1 版本 1 | Retired | 微软列出的退役日期为 2026 年 8 月 13 日，替代型号为 DeepSeek-V4-Pro。 |
| DeepSeek-R1-0528 | Retired | 微软列出的退役日期为 2026 年 7 月 13 日。 |
这一区别很重要：2025 年的 R1 发布公告记录的是当时的上架情况，不是 R1 每个版本今天仍能部署的保证。上线前应确认目标型号是否 GA、是否已退役，以及替代型号是否适合现有应用。
在 Microsoft Foundry 使用 DeepSeek，意味着什么？
微软称 Foundry 模型由 Azure 托管和管理，并提供按量付费或预配吞吐量（Provisioned Throughput）等选项；预配吞吐量可在模型之间调配容量。Microsoft Foundry 模型概览
Rank #2
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- What You Get: Anker USB-C Hub (5-in-1, 4K HDMI), welcome guide, 18-month warranty, and our friendly customer service.
对开发团队而言，平台路径可以包括在模型目录中查找型号、部署端点、获取 API 凭证、通过 Playground 试用，并用评估工具检查输出。2025 年的 R1 公告描述了这些 Foundry 工作流。它们提供了接入和管理模型的方式，但并不替代针对自有任务的测试。
“由 Azure 托管”也不自动意味着所有地区、账户和工作负载都能使用相同型号、部署 SKU、数据驻留安排或合同条款。企业在接入前应核对所在区域、租户可用性、具体 SKU、服务说明及合同中的安全与合规承诺。
Rank #3
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- Fast and Reliable 85W Charging: Offers high-capacity, speedy charging for laptops up to 85W, so you spend less time tethered to an outlet and more time being productive.
- What You Get: Anker USB-C Hub (7-in-1), welcome guide, 18-month warranty, and our friendly customer service.
Foundry 中的 DeepSeek 与 DeepSeek 官方服务有何不同？
核心差别在于服务路径和运营安排：通过 Foundry 使用时，模型经微软平台和 Azure 部署；使用其他服务时，则应依据该服务提供方的接口、部署位置、账户条件和条款评估。现有信息不足以给出两者在价格、性能或数据处理方面的普遍优劣结论。
尤其不要只凭模型名称比较价格。微软 DeepSeek 定价页面在所查页面快照中，有多个型号的输入、缓存输入和输出价格显示为“$-”，无法据此计算可靠的 Azure 单价，更无法与 DeepSeek 官方 API 作有依据的价格对比。应按目标区域、型号、部署类别和实际使用量核对当前报价。Azure AI Foundry 定价页面
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微软为什么把 DeepSeek 纳入 Foundry？
对平台用户来说，多模型目录让团队能够在同一开发平台内比较和编排不同模型，而不必把模型选择简化为单一供应商或单一版本。微软对 V4 的介绍把重点放在系统设计，以及按质量、速度和成本需求选择模型。这是微软对其平台方向的描述，不是独立基准测试结论。
真正的选择应围绕应用本身：用目标任务评估输出质量，测量延迟和吞吐，按实际部署核算费用，并检查生命周期、区域可用性和治理要求。一个型号的名称或整体声誉，不能取代这些工作负载级验证。
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- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
DeepSeek 会进入 Copilot 吗？
截至 Axios 于 2026 年 6 月 16 日的报道，微软仍在评估将经微调的 DeepSeek V4 或其他开放模型作为 Copilot Cowork 中 OpenAI 与 Anthropic 模型的低成本选项。报道说，当时微软预计在随后数周选定方案；若采用 DeepSeek，模型会由 Azure 托管并由客户选择。这是报道对当时探索和计划的描述，不是微软已正式发布该功能的证明。Axios 报道
Axios 报道中，微软负责 Copilot、agents 与 platform 的执行副总裁 Charles Lamanna 谈到按使用量收费的成本压力：“We have users who do hundreds of tasks a week, which is great — they’re way productive — but the consequence is the costs can go very high.” 可译为：“有些用户每周会执行数百项任务，这很好——他们的生产力很高——但随之而来的成本可能会非常高。”
DeepSeek 能在 Copilot+ PC 上本地运行吗？
微软在 2025 年宣布，DeepSeek R1 的 7B 和 14B 蒸馏版可用于 Copilot+ PC 的 NPU 本地推理。微软称 Copilot+ PC 的 NPU 能力超过 40 TOPS，并表示支持先覆盖 Snapdragon X，随后扩展到 Intel Core Ultra 200V 和 AMD Ryzen 平台；这是微软对其平台能力和支持计划的描述，不是跨设备的独立性能测试，也不代表所有电脑兼容。Windows Developer Blog 公告
本地推理和 Foundry 云端部署是不同路径：前者涉及受支持的处理器平台及本机模型运行条件，后者经 Azure 托管。若考虑在 PC 上运行，应核实处理器平台、NPU、内存和模型包要求；无需购买新电脑才能使用微软云端的 DeepSeek 服务。
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部署前如何比较模型与运行方式？
- 版本与生命周期：确认准确型号是 GA、Preview 还是 Retired，并查明替代型号。不要把旧版 R1 的公告套用到当前 V4 型号上。
- 部署位置：判断是否需要 Foundry 的 Azure 托管，或符合微软支持条件的本地推理；两种路径的运维和约束不同。
- 任务质量：使用真实输入和预期输出评估模型。微软提供的评估工具可辅助测试，但当前可核实的信息不构成独立的模型排名。
- 延迟、吞吐与成本：在目标区域、部署类别和实际使用模式下测量并核价；不要套用未经核实的单价或节省比例。
- 安全、合规与数据驻留：以实际租户、区域、SKU、服务说明和合同为准，不要把平台托管描述扩大成无条件保证。
- 本地设备兼容性：若选本地运行，逐项核对处理器平台、NPU、内存和模型包要求；微软列出的支持范围不是对所有 PC 的兼容承诺。
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