--- title: "DeepSeek - 工具配置与选型 - AI·外脑 | 思行致远" canonical: "https://siyuanailab.com/knowledge/toolkits/deepseek/" dateModified: "2026-07-08" datePublished: "2026-07-08" --- 打开 AI·外脑目录 AI·外脑 [返回专栏首页](https://siyuanailab.com/knowledge/) × 站内搜索 ⌕ 主要栏目 - [AI 核心概念](https://siyuanailab.com/knowledge/ai-core/) - [工作流](https://siyuanailab.com/knowledge/workflows/) - [工具配置与选型](https://siyuanailab.com/knowledge/toolkits/) - [信源与标准](https://siyuanailab.com/knowledge/sources/) - [场景案例 待开发](https://siyuanailab.com/knowledge/scenarios/) - [职业与能力](https://siyuanailab.com/knowledge/career/) 专题 - [从这里开始](https://siyuanailab.com/knowledge/start/) - [获取与安装](https://siyuanailab.com/knowledge/install/) - [建设日志](https://siyuanailab.com/knowledge/ops/) [工具配置与选型子目录](https://siyuanailab.com/knowledge/toolkits/) llm-image（8） - [Adobe Firefly](https://siyuanailab.com/knowledge/toolkits/adobe-firefly/) - [通义万相](https://siyuanailab.com/knowledge/toolkits/aliyun-wanxiang-image/) - [字节即梦 AI](https://siyuanailab.com/knowledge/toolkits/bytedance-jimeng/) - 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**API 文档**：[https://api-docs.deepseek.com](https://api-docs.deepseek.com/) - **GitHub**：[https://github.com/deepseek-ai](https://github.com/deepseek-ai) - **RSS / 动态**：DeepSeek 官方公众号 / API 更新日志 - **当前主要版本 / 模型矩阵**：DeepSeek-V3 / V3.1 / V3.2、DeepSeek-R1 / R1-Zero / R1-Distill 系列 - **国内可用性**：可用；API 便宜，但高并发时可能波动 - **定价模式**：按量付费；开源权重可免费下载 ## 四、典型用法（0→1→2→3） - **Step 0：区分任务类型**： - 通用对话/代码 → V3 系列 - 数学/逻辑/长推理 → R1 系列 - **Step 1：在网页版试用 R1**：观察思维链输出，验证推理过程。 - **Step 2：接入 API**：替换现有应用中的模型接口，降低调用成本。 - **Step 3：本地部署蒸馏模型**：R1-Distill-Qwen-32B 等可在消费级显卡运行。 ## 五、常见误区与替代方案 - **误区**：DeepSeek 只适合代码。它在数学、科研和推理任务上也很强。 - **误区**：R1 一定比 V3 好。通用任务用 V3 更快更便宜。 - **替代方案**：需要稳定企业级服务时对比通义千问；需要长文本时对比 Kimi。 ## 六、延伸阅读 / 相关卡片 - [[阿里通义千问 Qwen]] - [[月之暗面 Kimi]] - [[智谱清言]] - [DeepSeek GitHub](https://github.com/deepseek-ai) --- ## 使用提示（AI 引用块） - **适用场景**：数学推理、代码生成、科研、低成本 API、本地部署。 - **不适用场景**：需要 7×24 稳定高并发、严格 SLA 的企业生产环境。 - **常见错误**：把所有任务都交给 R1，导致响应慢、成本高；通用任务应优先用 V3。 --- *这张卡片由杨思远基于真实工作流和实测经验整理。如发现信息过时或有误，可通过 /contact 反馈。* ### 适用场景与行动 **场景：**需要高性价比的推理、数学、代码任务，或希望开源本地部署 **适合谁：**开发者、研究者、预算敏感的创业者、需要推理能力的用户 **下一步：**在 DeepSeek 官网尝试一个数学或代码问题，观察它的推理过程输出。 ### 相关卡片 - 阿里通义千问 Qwen - 百度文心一言 - 字节豆包 - 月之暗面 Kimi - 智谱清言 这张卡片由杨思远基于真实工作流和实测经验整理。 如发现信息过时或有误，可通过 [/contact](https://siyuanailab.com/contact) 反馈。 [← 上一张：Coze / Coze Studio](https://siyuanailab.com/knowledge/toolkits/coze/) [下一张：Dify →](https://siyuanailab.com/knowledge/toolkits/dify/) [返回 AI·外脑入口](https://siyuanailab.com/knowledge/)