Vibe Coding 101 Using Qwen3-Coder LLM Model

Introduction
In 2025, Alibaba Cloud (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

- Many more….
Quick Start Guide For Vibe Coding Using Qwen3-Coder LLM Model
Navigate to Qwen Chat Portal via https://chat.qwen.ai/.

Click Log in or Sign up button. You can use either email, Google SSO or GitHub SSO based on your preferences.
After done, it should auto navigate to Home Page.

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.

After selected your preferred Qwen3 LLM models, proceed to enter your preferred prompt.
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.Now it will start generating new codes and having similar to following screenshot:

To validate if earlier Qwen3-Coder generated output codes are really working fine, we proceed to copy whole codes and test on separate website.
Paste whole codes into Real-time HTML Editor via https://htmledit.squarefree.com/. (Notes: You may choose any other preferred HTML editor)
It should able to display 3D Terrain Visualization web application, similar to following screenshot:

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
Qwen Documentation
Qwen Hugging Face Organization
Qwen GitHub Organization
Qwen AI Research Blog
Qwen Chat Google Play Store
Qwen Chat Apple Store
References
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=d927d7d2e59d059045ce758ded34f98c0186d2d7&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=fdfbaf2907a36b7659a470c77fb135e381302028&from=research.research-list