# Vibe Coding 101 Using Qwen3-Coder LLM Model

![](https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/qwen3-banner.png align="left")

## Introduction

In 2025, [Alibaba Cloud](https://www.alibabacloud.com/) (**阿里云**) announced and released new Qwen3 (**通义千问3**) large language models (LLM), which is part of their Qwen family of LLMs.

As of 29 September 2025, Alibaba Cloud released following Qwen3 models:

* **Qwen3-235B-A22B**
    
    * A large model with 235 billion total parameters and 22 billion activated parameters.
        
* **Qwen3-32B**
    
* **Qwen3-30B-A3B**
    
    * A smaller MoE model with 30 billion total parameters and 3 billion activated parameters.
        
* **Qwen3-14B**
    
* **Qwen3-8B**
    
* **Qwen3-4B**
    
* **Qwen3-1.7B**
    
* **Qwen3-0.6B**
    
* **Qwen3-Coder-480B-A35B-Instruct**
    
    * A 480B-parameter Mixture-of-Experts model with 35B active parameters which supports the context length of 256K tokens natively and 1M tokens with extrapolation methods.
        
* **Qwen3-Embedding-8B**
    
* **Qwen3-Embedding-4B**
    
* **Qwen3-Embedding-0.6B**
    
* **Qwen3-Next-80B-A3B-Base**
    
    * An 80-billion-parameter model that activates only 3 billion parameters during inference.
        
* **Qwen3-Next-80B-A3B-Instruct**
    
* **Qwen3-Next-80B-A3B-Thinking**
    
* **Qwen3-Omni**
    
    * Natively end-to-end multilingual omni model.
        
* **Qwen3-TTS-Flash**
    
    * A flagship text-to-speech model that supports multi-timbre, multi-lingual, and multi-dialect speech synthesis.
        

Above Qwen3 models have new capabilities such as:

* **Hybrid Thinking Modes**
    
    * Thinking Mode
        
    * Non-Thinking Mode
        
* **Multilingual Support**
    
    * 119 Languages and Dialects
        
* **Improved Agentic Capabilities**
    
    * Supports of MCP
        
* **Integrations with Open Source Ecosystem**
    

![](https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/qwen3-logo.png align="left")

* **Many more….**
    

## Quick Start Guide For Vibe Coding Using Qwen3-Coder LLM Model

1. Navigate to Qwen Chat Portal via [https://chat.qwen.ai/](https://chat.qwen.ai/).
    
    ![](https://cdn.hashnode.com/res/hashnode/image/upload/v1759161112810/837ddcb7-89f0-49b4-a5b4-024a54cebc67.png align="center")
    
2. Click **Log in** or **Sign up** button. You can use either email, Google SSO or GitHub SSO based on your preferences.
    
3. After done, it should auto navigate to Home Page.
    
    ![](https://cdn.hashnode.com/res/hashnode/image/upload/v1759161264775/ded6b848-a81b-47d8-98e0-c155f30b9d6b.png align="center")
    
4. On top left corner, select your preferred Qwen3 LLM model. You would able to select **Qwen3-Max**, **Qwen3-235B-A22B, Qwen3-Coder, Qwen3-Omni-Flash** or **Qwen3-Next-80B-A3B** from the list.
    
    ![](https://cdn.hashnode.com/res/hashnode/image/upload/v1759161306317/2783f900-15a2-4745-be91-91f681d72870.png align="center")
    
5. After selected your preferred Qwen3 LLM models, proceed to enter your preferred prompt.
    
6. In this example, enter following prompts for generate web application from zero.
    
    `To create a 3D Google Earth, you need to load the terrain map correctly. You can use any online resource. The code is written into an HTML file.`
    
7. Now it will start generating new codes and having similar to following screenshot:
    
    ![](https://cdn.hashnode.com/res/hashnode/image/upload/v1759161648024/8f7c2874-0001-460c-a72a-79a2c6937fa4.png align="center")
    
8. To validate if earlier Qwen3-Coder generated output codes are really working fine, we proceed to copy whole codes and test on separate website.
    
9. Paste whole codes into Real-time HTML Editor via [https://htmledit.squarefree.com/](https://htmledit.squarefree.com/). (Notes: You may choose any other preferred HTML editor)
    
10. It should able to display 3D Terrain Visualization web application, similar to following screenshot:
    
    ![](https://cdn.hashnode.com/res/hashnode/image/upload/v1759161826155/184369ed-8983-4ee0-b492-30e629b8905e.png align="center")
    
11. Done! You have just successfully vide coded new web application using Qwen3 LLM model, and good to proceed with any new prompts based on your preferences.
    

## Useful Resources

* Qwen Alibaba Cloud Product Page
    
    * [https://www.alibabacloud.com/en/solutions/generative-ai/qwen?\_p\_lc=1](https://www.alibabacloud.com/en/solutions/generative-ai/qwen?_p_lc=1)
        
* Qwen Documentation
    
    * [https://qwen.readthedocs.io/en/latest/](https://qwen.readthedocs.io/en/latest/)
        
* Qwen Hugging Face Organization
    
    * [https://huggingface.co/Qwen](https://huggingface.co/Qwen)
        
* Qwen GitHub Organization
    
    * [https://github.com/QwenLM](https://github.com/QwenLM)
        
* Qwen AI Research Blog
    
    * [https://qwen.ai/research](https://qwen.ai/research)
        
* Qwen Chat Google Play Store
    
    * [https://play.google.com/store/apps/details?id=ai.qwenlm.chat.android&hl=en](https://play.google.com/store/apps/details?id=ai.qwenlm.chat.android&hl=en)
        
* Qwen Chat Apple Store
    
    * [https://apps.apple.com/app/id6743778442](https://apps.apple.com/app/id6743778442)
        

## References

* [https://qwen.ai/research](https://qwen.ai/research)
    
* [https://qwen.ai/blog?id=1e3fa5c2d4662af2855586055ad037ed9e555125&from=research.research-list](https://qwen.ai/blog?id=1e3fa5c2d4662af2855586055ad037ed9e555125&from=research.research-list)
    
* [https://qwen.ai/blog?id=888d803985bfb14e4b49df6f926ef9ba05349383&from=research.research-list](https://qwen.ai/blog?id=888d803985bfb14e4b49df6f926ef9ba05349383&from=research.research-list)
    
* [https://qwen.ai/blog?id=d927d7d2e59d059045ce758ded34f98c0186d2d7&from=research.research-list](https://qwen.ai/blog?id=d927d7d2e59d059045ce758ded34f98c0186d2d7&from=research.research-list)
    
* [https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list](https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list)
    
* [https://qwen.ai/blog?id=3425e8f58e31e252f5c53dd56ec47363045a3f6b&from=research.research-list](https://qwen.ai/blog?id=3425e8f58e31e252f5c53dd56ec47363045a3f6b&from=research.research-list)
    
* [https://qwen.ai/blog?id=f50261eff44dfc0dcbade2baf1b527692bdca4cd&from=research.research-list](https://qwen.ai/blog?id=f50261eff44dfc0dcbade2baf1b527692bdca4cd&from=research.research-list)
    
* [https://qwen.ai/blog?id=fdfbaf2907a36b7659a470c77fb135e381302028&from=research.research-list](https://qwen.ai/blog?id=fdfbaf2907a36b7659a470c77fb135e381302028&from=research.research-list)