微信AI搜索集成DeepSeek-R1怎么用？2026年最新功能实测

Overview

WeChat has officially begun testing an AI-powered search feature, integrating the DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks. large language model (LLM) to deliver a more diverse and intelligent search experience. According to Chinese media outlet iThome, the Tencent-backed super-app is rolling out this feature to a limited group of trial users.

微信已正式启动AI搜索功能测试，集成了DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.大语言模型，旨在提供更加多样化和智能化的搜索体验。据中国媒体iThome报道，腾讯旗下的这款超级应用正在向有限数量的试用用户推送该功能。

Key Feature Details

How to Access

Users selected for the trial phase can access the new AI-powered search through a dedicated “AI Search” button located within the chat interface. This integration marks a significant step in WeChat’s evolution from a messaging platform to an intelligent search gateway.

被选入试用阶段的用户可以通过聊天界面中的专用 “AI搜索” 按钮访问这一新功能。这一整合标志着微信从即时通讯平台向智能搜索入口迈出了重要一步。

Data Privacy and Scope

Tencent has provided clear clarifications regarding data usage for this feature:

腾讯就该功能的数据使用范围提供了明确的说明：

• Data Sources: The AI search pulls information from public WeChat Official Accounts and other publicly available online content.
• Data Sources (Translation): AI搜索的数据来源为公开的微信公众号及其他公开的在线内容。
• Excluded Data: The feature does not use private user data, including chat histories, posts on Moments (WeChat’s social feed), or any other personal communications.
• Excluded Data (Translation): 该功能不会使用用户的私人数据，包括聊天记录、朋友圈动态或任何其他个人通讯内容。

Technical Architecture: DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.

Model Capabilities

DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks., launched in January 2025, is positioned as a highly competitive alternative to OpenAI’s offerings. It is available under an MIT open-source license, which has facilitated rapid adoption across the Chinese tech industry.

DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.于2025年1月发布，被定位为OpenAI产品的高度竞争替代品。该模型采用MIT开源许可证发布，这一特性极大地促进了其在中国科技行业的快速采用。

Competitive Landscape

The adoption of DeepSeek by WeChat is part of a broader trend. Since the 2025 Spring Festival holiday, several industry leaders in China have integrated DeepSeek into their products. The following table provides a comparative analysis of DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks. against other leading LLMs:

微信采用DeepSeek是更广泛行业趋势的一部分。自2025年春节假期以来，多家中国行业领军企业已将DeepSeek集成到其产品中。下表提供了DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.与其他主流大语言模型的对比分析：

Implications for User Experience

WeChat’s integration of DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks. is designed to enhance search precision and user experience in two primary ways:

微信集成DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.旨在通过以下两个主要方面提升搜索精度和用户体验：

1. Improved Intent Understanding: The large model is better equipped to grasp the nuanced intent behind user queries, moving beyond simple keyword matching.
2. Complex Query Handling: The system can now process multi-layered or ambiguous questions, providing more contextually relevant and comprehensive answers.

1. 意图理解提升：该大模型能更好地把握用户查询背后的细微意图，超越简单的关键词匹配。
2. 复杂查询处理：系统现在可以处理多层次或模糊的问题，提供更具上下文相关性和全面性的答案。

Conclusion

The integration of DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks. into WeChat’s search functionality represents a significant milestone in the evolution of super-apps. By leveraging an open-source, high-performance LLM, Tencent is not only enhancing its core search capabilities but also signaling a strategic shift towards more intelligent, privacy-conscious, and user-centric features. As the testing phase expands, we can expect to see further refinements and broader adoption of AI-powered tools within the WeChat ecosystem.

将DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.集成到微信的搜索功能中，是超级应用发展历程中的一个重要里程碑。通过利用开源、高性能的大语言模型，腾讯不仅增强了其核心搜索能力，也标志着其战略向更智能、更注重隐私、更以用户为中心的功能转变。随着测试范围的扩大，我们可以期待在微信生态系统中看到AI驱动工具的进一步完善和更广泛的采用。

常见问题（FAQ）

微信AI搜索微信内置的基于人工智能的搜索功能，集成DeepSeek-R1模型，旨在提升搜索精准度和用户体验。功能怎么用？

被选中的试用用户可在聊天界面点击“AI搜索”按钮使用，该功能集成DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.模型，提供更智能的搜索体验。

微信AI搜索微信内置的基于人工智能的搜索功能，集成DeepSeek-R1模型，旨在提升搜索精准度和用户体验。会读取我的聊天记录吗？

不会。该功能仅从公开的微信公众号和网络内容提取数据，不使用聊天记录、朋友圈等私人数据，保护用户隐私。

DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.模型有什么优势？

DeepSeek-R1An open-source reasoning large language model developed by DeepSeek that performs comparably to OpenAI o1 on mathematical, coding, and natural language reasoning tasks.采用MIT开源许可证，成本低、推理能力强，能更好理解用户意图并处理复杂查询，已获多家中国行业领军企业采用。