feat(docs): supports zhipu glm-5v-turbo

Author: EAGzzyCSL

apps/site/docs/en/model-common-config.mdx

@@ -74,37 +74,21 @@ MIDSCENE_MODEL_FAMILY="doubao-seed" # "doubao-vision" is also supported
 # Optional: control reasoning effort (low, medium, high)
 # MIDSCENE_MODEL_REASONING_EFFORT="medium"
 ```
-### Qwen3.6 {#qwen36}
+### Qwen3.X Series {#qwen3x}
 
-Using Alibaba Cloud's `qwen3.6-plus` as an example. It is recommended to disable the platform's default thinking mode to improve execution speed, the environment variable configuration is as follows:
+Qwen3.5 and Qwen3.6 are currently supported in the Qwen3.X series.
 
-```bash
-MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
-MIDSCENE_MODEL_API_KEY="......"
-MIDSCENE_MODEL_NAME="qwen3.6-plus"
-MIDSCENE_MODEL_FAMILY="qwen3.6"
-MIDSCENE_MODEL_REASONING_ENABLED="false"
-```
-
-To enable thinking mode, remove the `MIDSCENE_MODEL_REASONING_ENABLED="false"` line and add `MIDSCENE_MODEL_REASONING_BUDGET="500"` to control thinking cost.
-
-You can also use Qwen3.6 from [OpenRouter](https://openrouter.ai/qwen).
-
-### Qwen3.5 {#qwen35}
-
-Using Alibaba Cloud's `qwen3.5-plus` as an example. It is recommended to disable the platform's default thinking mode to improve execution speed, the environment variable configuration is as follows:
+Using Alibaba Cloud's `qwen3.5-plus` as an example. It is recommended to disable the platform's default thinking mode to improve execution speed:
 
 ```bash
 MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
 MIDSCENE_MODEL_API_KEY="......"
-MIDSCENE_MODEL_NAME="qwen3.5-plus"
-MIDSCENE_MODEL_FAMILY="qwen3.5"
+MIDSCENE_MODEL_NAME="qwen3.5-plus" # For Qwen3.6, use "qwen3.6-plus"
+MIDSCENE_MODEL_FAMILY="qwen3.5" # For Qwen3.6, use "qwen3.6"
 MIDSCENE_MODEL_REASONING_ENABLED="false"
 ```
 
-To enable thinking mode, remove the `MIDSCENE_MODEL_REASONING_ENABLED="false"` line and add `MIDSCENE_MODEL_REASONING_BUDGET="500"` to control thinking cost.
-
-You can also use Qwen3.5 from [OpenRouter](https://openrouter.ai/qwen).
+To enable thinking mode, set `MIDSCENE_MODEL_REASONING_ENABLED="true"` and add `MIDSCENE_MODEL_REASONING_BUDGET="500"` to control thinking cost.
 
 ### Qwen3-VL {#qwen3-vl}
 
@@ -119,20 +103,23 @@ MIDSCENE_MODEL_FAMILY="qwen3-vl"
 
 You can also use Qwen3-VL from [OpenRouter](https://openrouter.ai/qwen).
 
-### Zhipu GLM-V {#glm-v}
+### Zhipu GLM-V Series {#glm-v}
 
-Zhipu GLM-V is an open-source vision model from Zhipu AI. Using `GLM-4.6V` as an example:
+Zhipu GLM-V is a vision understanding model from Zhipu AI. The latest versions include `GLM-4.6V` (open-source) and `GLM-5V-Turbo`.
+
+It is recommended to disable the platform's default thinking mode to improve execution speed. Using `GLM-4.6V` as an example:
 
 Obtain an API key from [Z.AI (Global)](https://z.ai/manage-apikey/apikey-list) or [BigModel (CN)](https://bigmodel.cn/usercenter/proj-mgmt/apikeys), and set:
 
 ```bash
-MIDSCENE_MODEL_BASE_URL="https://api.z.ai/api/paas/v4" # Or https://open.bigmodel.cn/api/paas/v4
+MIDSCENE_MODEL_BASE_URL="https://open.bigmodel.cn/api/paas/v4" # Or https://api.z.ai/api/paas/v4
 MIDSCENE_MODEL_API_KEY="......"
-MIDSCENE_MODEL_NAME="glm-4.6v"
+MIDSCENE_MODEL_NAME="glm-4.6v" # For GLM-5V-Turbo, use "glm-5v-turbo"
 MIDSCENE_MODEL_FAMILY="glm-v"
+MIDSCENE_MODEL_REASONING_ENABLED="false"
 ```
 
-**Learn more about Zhipu GLM-V**
+**Learn more about the open-source Zhipu GLM-V model**
 
 - Github: [https://github.com/zai-org/GLM-V](https://github.com/zai-org/GLM-V)
 - Hugging Face: [https://huggingface.co/zai-org/GLM-4.6V](https://huggingface.co/zai-org/GLM-4.6V)

apps/site/docs/en/model-strategy.mdx

@@ -6,7 +6,7 @@ import TroubleshootingLLMConnectivity from './common/troubleshooting-llm-connect
 
 If you want to try Midscene right away, pick a model and follow its configuration guide:
 * [Doubao Seed Model](./model-common-config#doubao-seed-model)
-* Qwen Models: [Qwen3.6](./model-common-config#qwen36), [Qwen3.5](./model-common-config#qwen35), [Qwen3-VL](./model-common-config#qwen3-vl)
+* Qwen Models: [Qwen3.X Series](./model-common-config#qwen3x), [Qwen3-VL](./model-common-config#qwen3-vl)
 * [Zhipu GLM-V](./model-common-config#glm-v)
 * [Zhipu AutoGLM](./model-common-config#auto-glm)
 * [Gemini-3-Pro / Gemini-3-Flash](./model-common-config#gemini-3-pro)
@@ -53,7 +53,7 @@ If you are unsure where to start, pick whichever model is easiest to access toda
 | Model family | Deployment | Midscene notes |
 | --- | --- | --- |
 | Doubao Seed Model<br />[Quick setup](./model-common-config#doubao-seed-model) | Volcano Engine:<br />[Doubao-Seed-1.6-Vision](https://www.volcengine.com/docs/82379/1799865)<br />[Doubao-Seed-2.0-Lite](https://www.volcengine.com/docs/82379/1799865) | ⭐⭐⭐⭐<br />Strong at UI planning and targeting<br />Slightly slower |
-| Qwen3.5<br />[Quick setup](./model-common-config#qwen35) | [Alibaba Cloud](https://help.aliyun.com/zh/model-studio/vision)<br/>[OpenRouter](https://openrouter.ai/qwen) | ⭐⭐⭐⭐<br />Stronger than Qwen3-VL and Qwen2.5-VL |
+| Qwen3.5<br />[Quick setup](./model-common-config#qwen3x) | [Alibaba Cloud](https://help.aliyun.com/zh/model-studio/vision)<br/>[OpenRouter](https://openrouter.ai/qwen) | ⭐⭐⭐⭐<br />Stronger than Qwen3-VL and Qwen2.5-VL |
 | Zhipu GLM-4.6V<br />[Quick setup](./model-common-config#glm-v) | [Z.AI (Global)](https://docs.z.ai/guides/vlm/glm-4.6v)<br/>[BigModel (CN)](https://docs.bigmodel.cn/cn/guide/models/vlm/glm-4.6v) | Newly integrated, welcome to try it out<br />Weights open-sourced on [HuggingFace](https://huggingface.co/zai-org/GLM-4.6V) |
 | Gemini-3-Pro / Gemini-3-Flash<br />[Quick setup](./model-common-config#gemini-3-pro) | [Google Cloud](https://ai.google.dev/gemini-api/docs/models/gemini) | ⭐⭐⭐<br />Gemini-3-Flash is supported<br />Price is higher than Doubao and Qwen |
 | UI-TARS<br />[Quick setup](./model-common-config#ui-tars) | [Volcano Engine](https://www.volcengine.com/docs/82379/1536429) | ⭐⭐<br />Strong exploratory ability but results vary by scenario<br />Open-source versions available ([HuggingFace](https://huggingface.co/bytedance-research/UI-TARS-72B-SFT) / [GitHub](https://github.com/bytedance/ui-tars)) |

apps/site/docs/zh/model-common-config.mdx

@@ -78,29 +78,17 @@ MIDSCENE_MODEL_FAMILY="doubao-seed" # 也兼容 "doubao-vision"
 # MIDSCENE_MODEL_REASONING_EFFORT="medium"
 ```
 
-### 千问 Qwen3.6 {#qwen36}
+### 千问 Qwen3.X 系列 {#qwen3x}
 
-以[阿里云](https://www.aliyun.com/)的 `qwen3.6-plus` 模型为例，推荐关闭平台默认的思考模式以提升执行速度，其环境变量配置如下：
-
-```bash
-MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
-MIDSCENE_MODEL_API_KEY="......"
-MIDSCENE_MODEL_NAME="qwen3.6-plus"
-MIDSCENE_MODEL_FAMILY="qwen3.6"
-MIDSCENE_MODEL_REASONING_ENABLED="false"
-```
-
-如果需要开启思考模式，可以配置 `MIDSCENE_MODEL_REASONING_ENABLED="true"` 并增加 `MIDSCENE_MODEL_REASONING_BUDGET="500"` 配置以控制思考耗时。
-
-### 千问 Qwen3.5 {#qwen35}
+目前已支持 Qwen3.X 系列中的 Qwen3.5、Qwen3.6。
 
 以[阿里云](https://www.aliyun.com/)的 `qwen3.5-plus` 模型为例，推荐关闭平台默认的思考模式以提升执行速度，其环境变量配置如下：
 
 ```bash
 MIDSCENE_MODEL_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
 MIDSCENE_MODEL_API_KEY="......"
-MIDSCENE_MODEL_NAME="qwen3.5-plus"
-MIDSCENE_MODEL_FAMILY="qwen3.5"
+MIDSCENE_MODEL_NAME="qwen3.5-plus" # Qwen3.6 系列的 plus 模型是 "qwen3.6-plus"
+MIDSCENE_MODEL_FAMILY="qwen3.5" # Qwen3.6 系列对应的 family 是 "qwen3.6"
 MIDSCENE_MODEL_REASONING_ENABLED="false"
 ```
 
@@ -117,20 +105,23 @@ MIDSCENE_MODEL_NAME="qwen3-vl-plus"
 MIDSCENE_MODEL_FAMILY="qwen3-vl"
 ```
 
-### 智谱 GLM-V {#glm-v}
+### 智谱 GLM-V 系列 {#glm-v}
 
-智谱 GLM-V 是智谱 AI 推出的开源视觉模型。以 `GLM-4.6V` 为例：
+智谱 GLM-V 是智谱 AI 推出的视觉理解模型。最新版本有 `GLM-4.6V`（开源）、`GLM-5V-Turbo`。
+
+推荐关闭平台默认的思考模式以提升执行速度，以 `GLM-4.6V` 为例：
 
 从 [Z.AI（国际）](https://z.ai/manage-apikey/apikey-list)或 [BigModel（国内）](https://bigmodel.cn/usercenter/proj-mgmt/apikeys)获取 API 密钥，然后设置：
 
 ```bash
 MIDSCENE_MODEL_BASE_URL="https://open.bigmodel.cn/api/paas/v4" # 或 https://api.z.ai/api/paas/v4
 MIDSCENE_MODEL_API_KEY="......"
-MIDSCENE_MODEL_NAME="glm-4.6v"
+MIDSCENE_MODEL_NAME="glm-4.6v" # GLM-5V-Turbo 的对应模型名为 "glm-5v-turbo"
 MIDSCENE_MODEL_FAMILY="glm-v"
+MIDSCENE_MODEL_REASONING_ENABLED="false"
 ```
 
-**了解更多关于智谱 GLM-V**
+**了解更多关于智谱 GLM-V 开源模型**
 
 - Github: [https://github.com/zai-org/GLM-V](https://github.com/zai-org/GLM-V)
 - Hugging Face: [https://huggingface.co/zai-org/GLM-4.6V](https://huggingface.co/zai-org/GLM-4.6V)

apps/site/docs/zh/model-strategy.mdx

@@ -6,7 +6,7 @@ import TroubleshootingLLMConnectivity from './common/troubleshooting-llm-connect
 
 如果你想快速开始体验 Midscene，请选择模型并参考配置文档：
 * [豆包 Seed 模型](./model-common-config#doubao-seed-model)
-* 千问系列: [Qwen3.6](./model-common-config#qwen36), [Qwen3.5](./model-common-config#qwen35), [Qwen3-VL](./model-common-config#qwen3-vl)
+* 千问系列: [Qwen3.X 系列](./model-common-config#qwen3x), [Qwen3-VL](./model-common-config#qwen3-vl)
 * [智谱 GLM-V](./model-common-config#glm-v)
 * [智谱 AutoGLM](./model-common-config#auto-glm)
 * [Gemini-3-Pro / Gemini-3-Flash](./model-common-config#gemini-3-pro)
@@ -53,7 +53,7 @@ DOM 定位方案的稳定性不足预期，它常在 Canvas 元素、CSS backgro
 |模型系列|部署|Midscene 评价|
 |---|---|---|
 |豆包 Seed 模型<br />[快速配置](./model-common-config#doubao-seed-model)|火山引擎版本：<br />[Doubao-Seed-1.6-Vision](https://www.volcengine.com/docs/82379/1799865)<br />[Doubao-Seed-2.0-Lite](https://www.volcengine.com/docs/82379/1799865)|⭐⭐⭐⭐<br/>UI 操作规划、定位能力较强<br />速度略慢|
-|千问 Qwen3.5<br />[快速配置](./model-common-config#qwen35)|[阿里云](https://help.aliyun.com/zh/model-studio/vision)<br/>[OpenRouter](https://openrouter.ai/qwen)|⭐⭐⭐⭐<br/>综合效果优于 Qwen3-VL 和 Qwen2.5-VL |
+|千问 Qwen3.5<br />[快速配置](./model-common-config#qwen3x)|[阿里云](https://help.aliyun.com/zh/model-studio/vision)<br/>[OpenRouter](https://openrouter.ai/qwen)|⭐⭐⭐⭐<br/>综合效果优于 Qwen3-VL 和 Qwen2.5-VL |
 |智谱 GLM-4.6V<br />[快速配置](./model-common-config#glm-v)|[Z.AI (Global)](https://docs.z.ai/guides/vlm/glm-4.6v)<br/>[BigModel (CN)](https://docs.bigmodel.cn/cn/guide/models/vlm/glm-4.6v)|全新接入，欢迎体验<br />模型权重开源[HuggingFace](https://huggingface.co/zai-org/GLM-4.6V) |
 |Gemini-3-Pro / Gemini-3-Flash<br />[快速配置](./model-common-config#gemini-3-pro)|[Google Cloud](https://ai.google.dev/gemini-api/docs/models/gemini)|⭐⭐⭐<br />支持 Gemini-3-Flash<br />价格高于豆包和千问|
 |UI-TARS <br />[快速配置](./model-common-config#ui-tars)|[火山引擎](https://www.volcengine.com/docs/82379/1536429)|⭐⭐<br /> 有探索能力，但在不同场景表现可能差异较大<br />有开源版本（[HuggingFace](https://huggingface.co/bytedance-research/UI-TARS-72B-SFT) / [Github](https://github.com/bytedance/ui-tars)） |