diff --git a/en/usage/models/readme.mdx b/en/usage/models/readme.mdx
index b0662c463..21116c20a 100644
--- a/en/usage/models/readme.mdx
+++ b/en/usage/models/readme.mdx
@@ -55,32 +55,3 @@ Enter `Model Name` and select `Model Provider`, then submit. After that, select
 <Tip>
 Rerank models are optional. Without one, knowledge base results are used in their original retrieval order. With a rerank model configured, results are re-scored and only the top-K most relevant results are kept.
 </Tip>
-
-**Supported providers and models:**
-
-| Provider | Recommended Models | Notes |
-| --- | --- | --- |
-| [SiliconFlow](https://siliconflow.cn/) | `BAAI/bge-reranker-v2-m3`, `Qwen/Qwen3-Reranker-8B` | Recommended for China |
-| [Jina](https://jina.ai/) | `jina-reranker-v2-base-multilingual` | Multilingual |
-| [Cohere](https://cohere.com/) | `rerank-v3.5` | Industry leading |
-| [Voyage AI](https://voyageai.com/) | `rerank-2.5` | |
-| [GiteeAI](https://ai.gitee.com/) | `bge-reranker-v2-m3`, `Qwen3-Reranker-8B` | |
-| [Aliyun Bailian](https://bailian.console.aliyun.com/) | `qwen3-rerank`, `gte-rerank` | Requires extra args, see below |
-| [OpenRouter](https://openrouter.ai/) | `cohere/rerank-v3.5`, `cohere/rerank-4-pro` | Universal gateway |
-| [302.AI](https://share.302.ai/SuTG99) | `jina-reranker-m0`, `qwen3-rerank` | |
-| OpenAI Compatible | Any service supporting `/rerank` | Universal |
-
-### Using Rerank Models with Aliyun Bailian
-
-Aliyun Bailian's rerank API endpoint path differs from its LLM endpoint. You need to specify `rerank_url` in the model's **extra arguments**:
-
-1. When adding a model, select the `Aliyun Bailian` provider
-2. Enter the model name (e.g., `qwen3-rerank`)
-3. Add an extra argument:
-   - Key: `rerank_url`
-   - Type: `string`
-   - Value: `https://dashscope.aliyuncs.com/compatible-api/v1/reranks`
-
-<Warning>
-Other providers (SiliconFlow, Jina, Cohere, etc.) do not require extra arguments — they use the standard `/rerank` endpoint.
-</Warning>
diff --git a/zh/usage/models/readme.mdx b/zh/usage/models/readme.mdx
index 3f3943c2d..1b4acdb0f 100644
--- a/zh/usage/models/readme.mdx
+++ b/zh/usage/models/readme.mdx
@@ -71,32 +71,3 @@ LangBot Models 是 LangBot 官方提供的模型服务。当您使用 LangBot Sp
 <Tip>
 重排序模型是可选的。不配置时，知识库检索结果将按向量相似度排序直接使用。配置后，检索结果会经过重排序模型重新打分，只保留最相关的 Top-K 条结果。
 </Tip>
-
-**支持的供应商和模型：**
-
-| 供应商 | 推荐模型 | 备注 |
-| --- | --- | --- |
-| [SiliconFlow](https://siliconflow.cn/) | `BAAI/bge-reranker-v2-m3`, `Qwen/Qwen3-Reranker-8B` | 国内推荐 |
-| [Jina](https://jina.ai/) | `jina-reranker-v2-base-multilingual` | 多语言支持 |
-| [Cohere](https://cohere.com/) | `rerank-v3.5` | 全球领先 |
-| [Voyage AI](https://voyageai.com/) | `rerank-2.5` | |
-| [GiteeAI](https://ai.gitee.com/) | `bge-reranker-v2-m3`, `Qwen3-Reranker-8B` | |
-| [阿里云百炼](https://bailian.console.aliyun.com/) | `qwen3-rerank`, `gte-rerank` | 需要额外参数，见下方 |
-| [OpenRouter](https://openrouter.ai/) | `cohere/rerank-v3.5`, `cohere/rerank-4-pro` | 通用网关 |
-| [302.AI](https://share.302.ai/SuTG99) | `jina-reranker-m0`, `qwen3-rerank` | |
-| OpenAI 兼容 | 任意支持 `/rerank` 的服务 | 通用 |
-
-### 阿里云百炼使用重排序模型
-
-阿里云百炼的重排序 API 端点路径与其 LLM 端点不同，需要在模型的**额外参数**中指定 `rerank_url`：
-
-1. 添加模型时，选择 `阿里云百炼` 供应商
-2. 填入模型名称（如 `qwen3-rerank`）
-3. 在额外参数中添加一个参数：
-   - Key: `rerank_url`
-   - Type: `string`
-   - Value: `https://dashscope.aliyuncs.com/compatible-api/v1/reranks`
-
-<Warning>
-其他供应商（SiliconFlow、Jina、Cohere 等）无需填写额外参数，使用标准的 `/rerank` 端点即可。
-</Warning>