> 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/en-us/pre-basic/providers/deepseek.md).

# DeepSeek

DeepSeek is one of the mainstream domestic large-model providers. Its V3 / R1 series is well known for coding and reasoning tasks, and it is affordable.

## Get API Key

* Go to [DeepSeek Platform](https://platform.deepseek.com/) Register account
* `API Keys` → `Create API Key`, copy `sk-...` key
* Top up any amount (you can activate it with as little as ¥1)

## Configure in Cherry Studio

* After opening `Settings → Model Services`, find **deepseek** Provider to enter the details page
* **API key** Enter `sk-...`
* **API Address** By default `https://api.deepseek.com`, no need to modify
* Click **Get model list**

## Recommended usage

| Model               | Suitable scenarios                                                                           |
| ------------------- | -------------------------------------------------------------------------------------------- |
| `deepseek-chat`     | General chat, extremely cost-effective                                                       |
| `deepseek-reasoner` | Math, code, complex reasoning. Note that the output will include `<thinking>` thinking block |

## Native web search

Models in DeepSeek that support web connectivity can directly use the provider's native web search. When selecting a model, check whether there is a 🌐 icon next to its name; the specific support scope may change with provider updates, so it is not recommended to judge based only on the model name.

After turning on 🌐 in the conversation, if \[Settings] → \[Web Search] has \[Prefer configured search service] enabled, Cherry Studio will prioritize the configured search service; only after disabling this option will it prioritize the model's native web connectivity. See Web Connectivity Mode for details.

## Combination with global memory

DeepSeek itself does not have embedding models. If you want to use a knowledge base:

* It is recommended to use embedding models from another provider (for example [SiliconFlow](/docs/en-us/pre-basic/providers/siliconcloud.md) of `bge-m3` or [OpenAI](/docs/en-us/pre-basic/providers/openai.md) of `text-embedding-3-small`)
* You can still use DeepSeek for the chat model

{% hint style="info" %}

* DeepSeek charges by token, and cache hits can greatly reduce costs (refer to its official documentation)
* `deepseek-reasoner` The reasoning content will be rendered in the conversation by default, and can be [Chat settings](/docs/en-us/cherry-studio/preview/chat.md#dui-hua-she-zhi) toggle "Auto-collapse reasoning content" in
  {% endhint %}

***

### Get help and submit feedback

If you encounter any questions, bugs, or have suggestions for feature improvements during configuration or use, please refer to [Feedback and Suggestions](/docs/en-us/question-contact/suggestions.md) for the official channels provided.


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