Update README.md

README.md

@@ -18,6 +18,12 @@ pipeline_tag: image-text-to-text
 
 Over recent months, we have intensified our focus on developing foundation models that deliver exceptional utility and performance. Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.
 
+> [!Tip]
+> For users seeking managed, scalable inference without infrastructure maintenance, the official Qwen API service is provided by [Alibaba Cloud Model Studio](https://modelstudio.alibabacloud.com/).
+>
+> In particular, **Qwen3.5-Plus** is the hosted version corresponding to Qwen3.5-397B-A17B with more production features, e.g., 1M context length by default, official built-in tools, and adaptive tool use.
+> For more information, please refer to the [User Guide](https://www.alibabacloud.com/help/en/model-studio/text-generation).
+
 ## Qwen3.5 Highlights
 
 Qwen3.5 features the following enhancement:
@@ -938,12 +944,6 @@ In the following, we show example commands to launch OpenAI-Compatible API serve
 > If you encounter out-of-memory (OOM) errors, consider reducing the context window. 
 > However, because Qwen3.5 leverages extended context for complex tasks, we advise maintaining a context length of at least 128K tokens to preserve thinking capabilities.
 
-> [!Tip]
-> For users seeking managed, scalable inference without infrastructure maintenance, the official Qwen API service is provided by [Alibaba Cloud Model Studio](https://modelstudio.alibabacloud.com/).
->
-> In particular, **Qwen3.5-Plus** is the hosted version corresponding to Qwen3.5-397B-A17B with more production features, e.g., 1M context length by default, official built-in tools, and adaptive tool use.
-> For more information, please refer to the [User Guide](https://www.alibabacloud.com/help/en/model-studio/text-generation).
-
 #### SGLang
 
 [SGLang](https://github.com/sgl-project/sglang) is a fast serving framework for large language models and vision language models.