> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/zhong-wen-fan-ti/pre-basic/providers/deepseek.md).

# DeepSeek

DeepSeek 係國內主流大模型廠商之一，以 V3 / R1 系列喺編程同推理任務上口碑極佳，而且價錢親民。

## 取得 API Key

* 前往 [DeepSeek 平台](https://platform.deepseek.com/) 註冊帳號
* `API 金鑰` → `建立 API Key`，複製 `sk-...` 密鑰
* 充值任何金額（最低 ¥1 就可以開通）

## 喺 Cherry Studio 配置

* 打開 `設定 → 模型服務`，搵到 **deepseek** Provider 入去詳情頁
* **API 密鑰** 填入 `sk-...`
* **API 地址** 預設 `https://api.deepseek.com`，唔使改
* 撳 **獲取模型列表**

## 推薦用法

| 模型                  | 適合場景                               |
| ------------------- | ---------------------------------- |
| `deepseek-chat`     | 通用對話，性價比極高                         |
| `deepseek-reasoner` | 數學、代碼、複雜推理。注意輸出會帶 `<thinking>` 思考塊 |

## 原生連網

DeepSeek 入面支援連網能力嘅模型可以直接使用服務商原生網絡搜尋。揀模型時睇下名稱旁邊有冇 🌐 圖標；具體支援範圍可能會跟住服務商更新而變，唔建議淨係按模型名稱去判斷。

喺對話中打開 🌐 之後，如果【設定】→【網絡搜尋】入面嘅【優先使用已配置的搜尋服務】保持開啟，Cherry Studio 會優先使用已配置嘅搜尋服務；關閉呢個選項之後，先會優先使用模型原生連網。詳見 連網模式。

## 同全局記憶嘅配搭

DeepSeek 自家冇嵌入模型。如果你要用知識庫：

* 嵌入模型建議用其他 Provider 嘅（如 [硅基流動](/docs/zhong-wen-fan-ti/pre-basic/providers/siliconcloud.md) 嘅 `bge-m3` 或者 [OpenAI](/docs/zhong-wen-fan-ti/pre-basic/providers/openai.md) 嘅 `text-embedding-3-small`）
* 對話模型仍然可以用 DeepSeek

{% hint style="info" %}

* DeepSeek 價錢按 token 計費，快取命中可大幅減價（參考佢官方文件）
* `deepseek-reasoner` 嘅思考內容預設會喺對話中渲染，可喺 [對話設定](/docs/zhong-wen-fan-ti/cherry-studio/preview/chat.md#dui-hua-she-zhi) 入面切換「思考內容自動摺疊」
  {% endhint %}

***

### 攞幫助同提交意見

如果您喺配置或使用過程中遇到任何疑問、Bug 或有功能改善建議，請參考 [反饋與建議](/docs/zhong-wen-fan-ti/question-contact/suggestions.md) 入面提供嘅官方渠道。


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.cherryai.com.cn/docs/zhong-wen-fan-ti/pre-basic/providers/deepseek.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.