{"version":"1.0","generated_at":"2026-10-07T09:32:42.323887","id":1331,"slug":"microsoft-s-copilot-cowork-moves-to-usage-based-billing-and-may-tap-deepseek","title":"趋势解读：Microsoft's Copilot Cowork moves to usage-based billing and，解读最新 AI 进展","summary":"微软正考虑为Copilot Cowork采用自托管、微调的Deepseek V4版本作为更便宜的模型选项，并将定价模式转向按使用量计费。此举反映了AI成本挑战及模型多元化的趋势。","abstract":"趋势解读：Microsoft's Copilot Cowork moves to usage-based billing and，解读最新 AI 进展 微软正考虑为Copilot Cowork采用自托管、微调的Deepseek V4版本作为更便宜的模型选项，并将定价模式转向按使用量计费。此举反映了AI成本挑战及模型多元化的趋势。 微软考虑用Deepseek V4降低Copilot Cowork成本 Copilot定价从固定费率转向按使用量计费 采用Claude架构导致token消耗快、成本高 多模型生态和消费化定价成为趋势 Deepseek完全托管于Azure，可自定义防护 微软正在权衡自托管、微调版本的Deepseek V4，作为Copilot Cowork的一个更便宜的模型选项，Axios报道。该公司还在将Cowork转向按使用量定价。Cowork采用了Anthropic的Claude技术，该技术严重依赖代理推理并快速消耗token。Copilot EVP Charles Lamanna告诉Axios，统一定价是不可持续的，因为“每周执行数百个任务的用户”迅速推高了成本。微软已经对GitHub Copilot做出了类似举措，将其转向按使用量计费。中国AI模型可能招致批评，尤其是在美国。微软强调Deepseek将是可选的，并且完全托管在Azure上，将客户数据保留在微软的云中。该模型已经过定制，带有防止偏见的保障措施。最终决定预计在未来几周内做出。广告 此举符合CEO萨提亚·纳德拉本周发布的博客文章，他在文中主张建立一个AI模型生态系统，公司可以针对特定用例和成本进行选择和…","access_level":"member","access_label":"免费阅读","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/1331/microsoft-s-copilot-cowork-moves-to-usage-based-billing-and-may-tap-deepseek","html_url":"https://opc.beizhux.com/content/1331/microsoft-s-copilot-cowork-moves-to-usage-based-billing-and-may-tap-deepseek","json_url":"https://opc.beizhux.com/content/1331/microsoft-s-copilot-cowork-moves-to-usage-based-billing-and-may-tap-deepseek.json","published_at":"2026-06-17T03:32:38","updated_at":"2026-10-07T09:23:08","category":{"slug":"ai-skills","name":"AI技能杠杆"},"source":{"site":"the-decoder.com","author":"Matthias Bastian","url":"https://the-decoder.com/microsofts-copilot-cowork-moves-to-usage-based-billing-and-may-tap-deepseek/"},"tags":["AI","AI模型成本","Azure","Claude技术","Copilot","Deepseek","The 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Cowork成本；Copilot定价从固定费率转向按使用量计费；采用Claude架构导致token消耗快、成本高"},{"question":"这篇文章和哪些AI专题相关？","answer":"它适合放在AI工具、Agent工作流、AI超级个体专题里阅读。 关联原因：这篇内容命中「自动化、模型、Claude」等主题信号。；这篇内容命中「Agent、工作流」等主题信号。；这篇内容命中「技能」等主题信号。"},{"question":"阅读这篇文章建议先理解哪些关键词？","answer":"建议先理解AI工具、工具、自动化、模型、Cursor这些关键词，再结合正文判断工具、机会或风险是否值得进入自己的工作流。"}],"terms":[{"slug":"ai-tools-term","name":"AI工具","definition":"在AI觉醒星球里，「AI工具」属于「AI工具」方向。围绕AI工具、模型能力、自动化流程和真实使用场景做整理，优先关注能提升效率、降低成本和创造新交付的工具。 不只看工具热度，更看它能不能进入真实流程。","topic_slug":"ai-tools","topic_name":"AI工具","topic_title":"AI工具：模型、插件、自动化与实战场景","topic_url":"https://opc.beizhux.com/topics/ai-tools","topic_path":"/topics/ai-tools","url":"https://opc.beizhux.com/glossary/ai-tools-term","path":"/glossary/ai-tools-term","json_url":"https://opc.beizhux.com/glossary/ai-tools-term.json"},{"slug":"tools","name":"工具","definition":"在AI觉醒星球里，「工具」属于「AI工具」方向。围绕AI工具、模型能力、自动化流程和真实使用场景做整理，优先关注能提升效率、降低成本和创造新交付的工具。 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