QWEN-Agents unleashes the power of Qwen 3.0 Coder for both the 480B parameter cloud model and the 30B parameter local model.
QWEN-Agents is an open source fork of Alibaba's Qwen Code which is a fork of Google's Gemini CLI.
npm i -g @ai-masters-community/qwen-agents-code-core
npm i -g @ai-masters-community/qwen-agents-code
qwen-agents
git clone https://github.com/vibetemplates/qwen-agents-prompts.git
git clone https://github.com/vibetemplates/qwen-agents-cli.git
Qwen Agents CLI supports custom system prompts the can be loaded and stored using the /sp commands within the CLI. The system prompt contains the most important of all instructions to the coding model and tailoring your system prompt to your tasks and tech stack dramatically improves reliabiliy and accuracy.
Our custom system prompt support allows you to better manage your context window by loading important information about your tech stack and design patterns into the context window. This keeps the model's "creativity" in check ensuring hallucination do not damage your codebase or give you unexpected results.
Cloud models like OPUS 4.5 and Sonnet 4.5 are both expensive and prone to mistakes when working with a well established code base or "getting creative". The process of adding features, bug fixes, and ui changes can be better performed with smaller models having specific instructions.
Qwen Code is a fork of Gemini CLI from Alibaba that provides the capabilities of Gemini CLI specifically for Qwen 3.0 Coder 480b and 30b models.
Qwen Agents is a fork of Qwen Code specifically to provide customized agentic coding capabilities by supporting swapable system prompts targeted for specific coding tasks. This makes vibe coding with Qwen predictable, efficient, and reliable.
The 480B parameters cloud model can solve complex coding tasks within the boundaries you provide in your system prompts and requirements documentation. The 30b parameter local model is perfect for maintaining code and adding features to your existing applications.
Qwen Agents CLI support both the 480b and 30b Qwen 3.0 Coder models which can be run locally or provided by cloud providers. The 480b model is a great overall coding model that scores high on most coding benchmarks. The 30b model is great for repetitive tasks and works great for adding features or modifying existing codebases.
The tools supports custom system prompts that dramatically improves the reliabiliy of the coding tools. By providing stack specific system prompts developers can expect consistent output far exceeding what can be done with tools like Claude Code Subagents and Claude Agent Skills.
Qwen is known for open source models that can run locally. This makes Qwen 3.0 coder a great option for organizations that do not want to use cloud models. The 30B parameter model can be run on a desktop but we recommend at least 1 NVIDIA A100 GPU with GPU RAM to run the 32B parameter model and 8 NVIDIA H100-H200 GPUs for the 480B parameter model.
Dev Notes: The 30B model will technically fit on 32GB of GPU RAM but the performance will suffer dramatically. Our team uses the 480b model available via the Ollama Cloud for most tasks and we have had great success with the 30b model hosted on a server provisioned at Fireworks.ai
You can download the 30b and 480b models to run locally.
You can run the 480b model on the Ollama Cloud which we found to be a great value.
The Alibaba Model Studio has serverless options that are available in China and Singapore.
Fireworks.ai has serverless and custom deployment options available at a reasonable price.
Amazon Bedrock has hosting options available for both the 30b and 480b parameter versions.
Per Month
Per Month
Per 1M Tokens
If you are looking for reliability day in and day out Qwen Coder 3.0 is the perfect tool. The 480b cloud hosted model is on par with Sonnet 4.1 but is much more predictable.
Developers of Enterprise level applications do not need to worry that the model is going to make ton of unwanted changes or "flake out" like Claude does when it's team is tweaking the models.
Qwen 3.0 is much more reliable on simpler tech stacks. If you are looking for a Single Page Applications (SPA) look and feel, we recommend a solution like HTMX with your favorite backend language over something like React or NextJs.
When you choose your tech stack make sure to either create your own system prompt specific for your tech stack or use one of ours.
Qwen3-Coder is a powerful open-source AI model from Alibaba designed for advanced software development, known for its agentic capabilities and large context window. It is available in a local 30 billion-parameter version and its flagship 480 billion-parameter version.
Many reviewers say it is competitive with commercial models like Claude Sonnet, but we actually consider it superior because it's predictable and not contantly changing.