DeepSeek是什么？2026年全面解析与高效使用指南

引言

大家好，我是了不起。

DeepSeek 已成为全球人工智能领域的热点话题。作为一名自媒体从业者，我观察到公众对 DeepSeek 的认知存在巨大差异，观点两极分化。

Hello everyone, I'm Liaobuqi.

DeepSeek has become a hot topic in the global artificial intelligence field. As a self-media practitioner, I have observed a significant divergence in public understanding of DeepSeek, with opinions polarized.

例如，有读者认为 DeepSeek 是“水变油”式的骗局；有人认为它只是面向海外市场的营销噱头；也有人将其视为堪比第六代战斗机的“中国国运”象征；还有观点将其比作 AI 领域的“小米”。

For example, some readers believe DeepSeek is a "water-into-oil" style scam; some think it's merely a marketing gimmick targeting overseas markets; others view it as a symbol of "China's national destiny" comparable to sixth-generation fighter jets; and there are also perspectives that liken it to the "Xiaomi" of the AI field.

鉴于争议如此之大，本文将系统性地阐述 DeepSeek 的本质、高效使用方法及其实际应用场景，力求为读者提供全面、客观的解读。

Given such significant controversy, this article will systematically explain the essence of DeepSeek, efficient usage methods, and its practical application scenarios, striving to provide readers with a comprehensive and objective interpretation.

核心概念解析

DeepSeek 是什么？

DeepSeek（中文名：深度求索）是由杭州深度求索人工智能基础技术研究有限公司开发的人工智能大语言模型。

DeepSeek (Chinese name: Shen Du Qiu Suo) is a large language model developed by Hangzhou DeepSeek AI Basic Technology Research Co., Ltd.

其英文名“DeepSeek”融合了“Deep”（深思）与“Seek”（探索）之意，寓意通过深度学习技术探索未知领域。

Its English name "DeepSeek" combines the meanings of "Deep" (profound thought) and "Seek" (exploration), symbolizing the exploration of unknown fields through deep learning technology.

DeepSeek 是一款性能卓越的 AI 模型，能够处理多种任务，包括：

• 回答问题与复杂推理
• 撰写文章与文案创作
• 代码生成与调试

DeepSeek is a high-performance AI model capable of handling multiple tasks, including:

• Answering questions and complex reasoning
• Writing articles and copywriting
• Code generation and debugging

然而，必须理性看待其能力：它并非万能。随意的提问可能只能得到浅显的回答，特别是在未启用“深度思考”模式时，用户可能会低估其潜力。因此，我们应避免过度神化或贬低它——它目前是一个强大的工具，但尚未达到“全知全能”的“强人工智能”阶段。

However, it is essential to view its capabilities rationally: it is not omnipotent. Casual queries may only yield superficial answers, especially when the "Deep Thinking" mode is not enabled, potentially leading users to underestimate its potential. Therefore, we should avoid either deifying or disparaging it excessively—it is currently a powerful tool but has not yet reached the stage of "omniscient and omnipotent" strong artificial intelligence.

DeepSeek-R1 是 DeepSeek 最新的深度推理模型，其直接对标的是 OpenAI 的 o1 系列推理模型，而非多模态通用模型 GPT-4o。

DeepSeek-R1 is the latest deep reasoning model from DeepSeek, directly对标 (benchmarked against) OpenAI's o1 series reasoning models, not the multimodal general-purpose model GPT-4o.

两者的核心区别在于：GPT-4o 是一个多模态模型，能理解并生成图像、语音、视频内容；而 R1 目前主要专注于文本深度推理，在其他模态的支持上相对有限。

The core difference between the two lies in: GPT-4o is a multimodal model capable of understanding and generating image, audio, and video content; whereas R1 currently focuses primarily on deep text reasoning, with relatively limited support for other modalities.

如何访问与使用 DeepSeek？

目前，用户可以通过以下两种主要方式使用 DeepSeek：

Currently, users can access DeepSeek through the following two main methods:

1. 网页版：直接访问 https://chat.deepseek.com/ 即可使用。
2. 移动端 App：在手机应用商店搜索“deepseek”下载安装。

1. Web Version: Directly visit https://chat.deepseek.com/ to use it.
2. Mobile App: Search for "deepseek" in your phone's app store to download and install.

启动 DeepSeek 后，聊天界面会提供三种核心模式，用户可根据不同场景灵活选择：

After launching DeepSeek, the chat interface offers three core modes, which users can flexibly choose based on different scenarios:

• 基础模型：此模式基于 DeepSeek-V3 版本，于去年12月升级。其在多项基准测试中的性能可与全球顶尖的开源及闭源模型（如 GPT-4o, Claude-3.5-Sonnet, Qwen2.5, Llama-3.1 等）相媲美，适用于大多数通用对话和任务。
• 深度思考 (R1)：此模式启用最新的 R1 推理模型。正是凭借“免费 + 开源 + 极低 API 定价”的策略，DeepSeek-R1 在春节期间引爆全球，成为现象级产品。该模式会展示模型的逐步推理过程，适合解决复杂问题、数学计算和需要逻辑链的深度分析。
• 联网搜索：此模式允许模型在回答时检索互联网上的最新信息，即采用 RAG（检索增强生成）技术。你可以将其理解为 DeepSeek 内置的智能搜索引擎。注意：界面右侧的上传文档/图片功能与联网搜索模式不能同时启用。

• Base Model: This mode is based on the DeepSeek-V3 version, upgraded in December last year. Its performance in various benchmarks is comparable to top global open-source and closed-source models (e.g., GPT-4o, Claude-3.5-Sonnet, Qwen2.5, Llama-3.1, etc.), suitable for most general conversations and tasks.
• Deep Thinking (R1): This mode activates the latest R1 reasoning model. It was precisely the strategy of "free + open-source + extremely low API pricing" that made DeepSeek-R1 a global sensation during the Spring Festival, becoming a phenomenal product. This mode displays the model's step-by-step reasoning process, suitable for solving complex problems, mathematical calculations, and deep analysis requiring logical chains.
• Web Search: This mode allows the model to retrieve the latest information from the internet when answering, i.e., using RAG (Retrieval-Augmented Generation) technology. You can think of it as DeepSeek's built-in intelligent search engine. Note: The upload document/image function on the right side of the interface cannot be enabled simultaneously with the web search mode.

使用总结：

• 简单问答 -> 使用 基础模型。
• 复杂推理/需要过程 -> 启用 深度思考 (R1)。
• 查询实时信息 -> 勾选 联网搜索。

Usage Summary:

• Simple Q&A -> Use the Base Model.
• Complex Reasoning/Need Process -> Enable Deep Thinking (R1).
• Query Real-time Information -> Check Web Search.

高效使用技巧与心法

核心理念：从“提示词工程”到“自然对话”

如果你仍在费力寻找或记忆各种“专业提示词”和“万能模板”，那么可能走错了方向。DeepSeek 作为先进的推理模型，其设计哲学是鼓励用户进行像与人交谈一样的自然对话。这极大地降低了 AI 的使用门槛。

If you are still struggling to find or memorize various "professional prompts" and "universal templates," you might be on the wrong track. As an advanced reasoning model, DeepSeek's design philosophy encourages users to engage in natural conversation as if talking to a person. This significantly lowers the barrier to using AI.

关键在于理解普通模型与推理模型的根本区别：

The key lies in understanding the fundamental difference between ordinary models and reasoning models:

• 普通模型：倾向于直接给出答案（可能正确也可能错误），类似于“背过答案的学生”。
• 推理模型：会先展示“草稿纸”般的思考步骤，逐步推导出结论，并具备自我检查能力。
• 普通模型：功能类似“百度百科”，主要进行事实复述。
• 推理模型：角色类似“授课老师”，能够阐释问题的前因后果和逻辑脉络。

• Ordinary Model: Tends to give answers directly (which may be correct or incorrect), similar to a "student who has memorized the answers."
• Reasoning Model: First shows "scratch paper"-like thinking steps, gradually deduces conclusions, and possesses self-checking capabilities.
• Ordinary Model: Functions similarly to "Baidu Baike," primarily restating facts.
• Reasoning Model: Acts like a "lecturing teacher," capable of explaining the causes, consequences, and logical context of a problem.

结构化的提问方式有时会限制 AI 的创造性发挥，导致输出内容机械化。要获得更灵活、更深入的答案，应以目标为导向，充分激发模型的推理能力。

Structured questioning can sometimes limit the AI's creative发挥 (performance), leading to mechanical output. To obtain more flexible and in-depth answers, one should be goal-oriented, fully stimulating the model's reasoning capabilities.

实用提问公式

我总结了一个高效的通用提问公式，供大家参考：

I have summarized an efficient general-purpose questioning formula for your reference:

// 公式1：结构化角色任务模板
提问模板：“作为【身份】，请解决【任务】，要求【细节】，用【格式】输出。”

// 公式2：自然对话模板
提问模板：“我是XXX，要做什么XX事情，希望达到 XX效果。”

// Formula 1: Structured Role-Task Template
Question Template: "As a [role], please solve [task], requirements [details], output in [format]."

// Formula 2: Natural Conversation Template
Question Template: "I am XXX, I want to do XX thing, hoping to achieve XX effect."

实战案例演示

案例一：市场数据分析
提问：“作为市场专员，请分析在‘网红营销策略’的舆情讨论中，关键词‘小米’和‘理想’的情感倾向对比，并用表格形式输出核心发现。”

Case 1: Market Data Analysis
Question: "As a marketing specialist, please analyze the sentiment倾向 (tendency) comparison of the keywords 'Xiaomi' and 'Li Xiang' (Li Auto) in public discussions about 'influencer marketing strategies,' and output the core findings in table format."

DeepSeek-R1 在深度思考模式下，会逐步进行数据源假设、情感分类标准制定、对比分析，最终给出结构化结论。例如，它可能会分析出“小米”关键词关联的讨论更侧重“性价比”和“粉丝文化”，情感相对多元；而“理想”关键词则更多与“家庭用户”、“科技感”关联，情感可能更集中。

DeepSeek-R1, in deep thinking mode, will gradually proceed with data source assumptions, sentiment classification standard formulation, comparative analysis, and finally provide structured conclusions. For example, it might analyze that discussions related to the keyword "Xiaomi" focus more on "cost-performance" and "fan culture," with relatively diverse sentiments; whereas the keyword "Li Xiang" is more associated with "family users" and "sense of technology," with possibly more concentrated sentiments.

案例二：旅行规划
提问：“我是一名大学生，计划去西安旅游3-5天，请帮我规划一份旅行攻略，重点推荐本地小吃，总预算不超过1万元。”

Case 2: Travel Planning
Question: "I am a college student planning a 3-5 day trip to Xi'an. Please help me plan a travel itinerary, focusing on recommending local snacks, with a total budget not exceeding 10,000 yuan."

模型生成了一份详尽的行程，涵盖景点、路线、餐饮及预算，总花费估算不到3000元。作为西安本地人，我认为其规划的景点覆盖全面且路线合理。未来规划旅行时，直接咨询 DeepSeek 不失为一种高效获取个性化方案的方式。

The model generated a detailed itinerary covering attractions, routes, dining, and budget, with a total estimated cost of less than 3,000 yuan. As a local of Xi'an, I find its planned attractions comprehensive and the routes reasonable. For future travel planning, consulting DeepSeek directly can be an efficient way to obtain personalized plans.

常见问题与应对策略

服务器繁忙问题

由于 DeepSeek 全球用户量激增，访问时很可能会遇到“服务器繁忙，请稍后再试”的提示。

Due to the surge in global users of DeepSeek, you are likely to encounter the prompt "Server is busy, please try again later" when accessing.

作为一款提供免费服务的开源产品，支持如此庞大的并发访问本身已是一项挑战，短期内此问题可能持续存在。应对策略包括：

• 尝试访问其他集成了 DeepSeek API 的第三方服务平台。
• 对于开发者，可以考虑在自有环境中部署开源的 DeepSeek 模型。

As an open-source product offering free services, supporting such massive concurrent access is itself a challenge, and this issue may persist in the short term. Coping strategies include:

• Trying to access other third-party service platforms that have integrated the DeepSeek API.
• For developers, consider deploying the open-source DeepSeek model in your own environment.

结论与展望

为了撰写本文，我投入了36小时进行资料梳理与功能实测。文章中的所有示例和结论均经过亲自验证。

To write this article, I invested 36 hours in data梳理 (sorting) and functional testing. All examples and conclusions in the article have been personally verified.

我的核心感受是：无论 DeepSeek 是否被赋予“国运”的象征意义，对于普通人而言，它确实极大地降低了使用先进 AI 技术的门槛。无论是日常生活中的疑问，还是工作学习中的复杂问题，DeepSeek 都能提供超过身边90%人群认知水平的准确回答。

My core takeaway is: Regardless of whether DeepSeek is象征 (symbolically) endowed with the meaning of "national destiny," for ordinary people, it indeed significantly lowers the barrier to using advanced AI technology. Whether for daily life questions or complex problems in work and study, DeepSeek can provide accurate answers that surpass the cognitive level of 90% of the people around you.

当然，我们仍需保持理性，它并非完美无缺，也会出错或无法回答某些专业领域（如具体的医疗方案制定）的问题。但不可否认，它已经带来了足够的惊喜。

Of course, we must remain rational; it is not flawless, it can also make mistakes or be unable to answer certain professional领域 (domain) questions (such as specific medical treatment plan formulation). But undoubtedly, it has already brought sufficient surprises.

与许多其他大模型相比，DeepSeek 代表了 AI 发展的一个重要方向——更自然的交互（理解人话）与更本质的思考（无需复杂指令）。未来十年必将是 AI 技术全面爆发的十年，我们生活中的诸多环节都可能被 AI 重构。今天我们认为 DeepSeek 足够“炸裂”，但未来必然会出现更颠覆性的 AI 技术。

Compared to many other large models, DeepSeek represents an important direction in AI development—more natural interaction (understanding human language) and more fundamental thinking (without complex instructions). The next decade will undoubtedly be a decade of comprehensive AI technology explosion, and many aspects of our lives may be重构 (reconstructed) by AI. Today we find DeepSeek sufficiently "explosive," but even more disruptive AI technologies will inevitably emerge in the future.

此刻仅是 AI 爆发式增长的初期，想象空间巨大。作为普通人，我们未必需要深究其技术原理，但学会有效使用 AI 工具已成为一项必备技能。

This is only the initial stage of the explosive growth of AI, with immense room for imagination. As ordinary individuals, we may not need to delve into its technical principles, but learning to effectively use AI tools has become an essential skill.

我将持续关注并深耕 AI 领域，未来会继续与大家分享更多实践心得与前沿观察。

I will continue to focus on and delve into the AI field, and will share more practical insights and前沿 (cutting-edge) observations with everyone in the future.

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本文基于腾讯云开发者社区的原作者“永恒君”的文章进行技术性重构与编辑，旨在提供更结构化、专业化的解读。所有观点均基于公开信息与测试体验。

This article is a technical reconstruction and edit based on the original article by "永恒君" from the Tencent Cloud Developer Community, aiming to provide a more structured and professional interpretation. All viewpoints are based on public information and testing experience.

常见问题（FAQ）

DeepSeek是什么？它和GPT-4o有什么区别？

DeepSeek是由杭州深度求索公司开发的大语言模型，专注于文本深度推理。与多模态的GPT-4o不同，DeepSeek-R1主要对标OpenAI的o1系列推理模型，在图像、语音等模态支持上相对有限。

如何访问和使用DeepSeek？

用户可通过网页版（chat.deepseek.com）或手机应用商店下载App使用。启动后提供基础模型和深度思考（R1）等模式，基础模型性能媲美GPT-4o等顶尖模型，适用于通用对话。

DeepSeek真的能降低AI使用门槛吗？

是的。作为推理型AI，DeepSeek强调从“提示词工程”转向“自然对话”，提供实用提问公式和实战案例，帮助普通用户更轻松地完成问答、写作、编程等任务，降低了技术使用难度。