[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-c8b1fd9a-524e-4037-adea-d850696291c2":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"c8b1fd9a-524e-4037-adea-d850696291c2","微软测试 DeepSeek V4 接入 Copilot：开源 LLM 首次威胁到头部办公软件的核心","据 Axios 报道，微软正考虑将中国人工智能企业深度求索（DeepSeek）发布的开源 V4 大模型，作为旗下 Copilot 协同办公智能助手的低成本备选技术方案。这一步如果落地，意味着开源 LLM 第一次以\"主力替代\"的身份，叩开头部办公软件的大门。\n\nDeepSeek V4 的底气来自两个关键数字：1.6 万亿参数总量、49B 活跃参数，加上 1M 上下文窗口。在 DeepSeek 官方技术报告里，V4-Pro 在 Agentic Coding、数学\u002FSTEM 等硬核榜单上已经超过所有开源模型，比肩顶级闭源模型；V4-Flash 仅 13B 活跃参数就在简单 Agent 任务上与 Pro 持平。背后的\"武器\"是 Token-wise 压缩 + DSA（DeepSeek Sparse Attention）这套新颖注意力机制——它让长上下文推理的计算与内存成本被砍到一个新量级。\n\n真正的转折点不是\"性能强\"，而是\"性能强 + 开源\"。此前 Anthropic、OpenAI 主导了 Copilot 能力栈；DeepSeek V4 把这条路线第一次撕开一个缺口——头部厂商开始认真考虑用开源权重替换闭源 API，而且不是为了\"试用\"，是为了\"压缩成本\"。Azure 云本地部署也意味着客户数据全部留在微软自己的体系里，这恰好回应了企业用户最敏感的数据合规问题。\n\n更深一层看，这是 2026 年开源 vs 闭源对决的标志性事件。当一个万亿级 MoE 能以\"开源+稀疏注意力+1M上下文\"的组合，把推理成本压到闭源模型不可忽视的水位，头部厂商的\"自研最贵最稳\"叙事就不那么稳了。下一步要看的是：OpenAI、Anthropic 是降价迎战，还是用更强的新模型回应——这场仗的开端，已经写在 DeepSeek V4 的权重里。","https:\u002F\u002F36kr.com\u002Fnewsflashes\u002F3857211421791239","65b9d555-315a-4588-a5cb-6f215dfecdc9",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"a8002d98-9df1-4ab9-94d4-a7625af634c4","china-ai",{"id":18,"name":19,"slug":19,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",{"id":21,"name":22,"slug":22,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source","2026-06-22T16:30:00Z","2026-06-22T16:13:01.877996Z","2026-06-22T16:13:01.878021Z",true,"agent",4]