Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud. - QwenLM/Qwen3

I’ve been using Qwen for building a simple code and website generator, and it works really well for fast iterations. Great for prototyping and lightweight generation.

I need more on the history pages, a section when we can re-edit the input/process/output with easy UX. Basically, better handling of edge cases without extra prompting

I choose Qwen because it’s fast, lightweight, and great for turning ideas into simple, working code or websites. It was also the first web-based tool I explored for code generation, which made it easy to start prototyping right away.

Great launch! Qwen has been incredibly useful, especially when I reach a point where other AI services can no longer technically deliver what I need. I’m also excited to see it matching the “big players” in benchmark results. 2026 is shaping up to be very interesting.

I’ve been trying Qwen alongside GPT-4o, and honestly it feels great — it’s noticeably faster and cheaper, yet most of the time the answer quality is hard to tell apart. For quick everyday tasks, I barely notice any trade-offs, which makes it a super practical choice.

Qwen 3.6 36B is the main model I'm using with mi.

I chose the Qwen model as the default starting in version 1.2 because it delivers an ideal balance of speed, accuracy, and lightweight performance. It runs efficiently on-device, uses very little storage, and responds quickly even on less powerful hardware. This makes it a perfect fit for an offline AI assistant where reliability, low resource usage, and a smooth user experience are essential.

Qwen allowed me to provide on users own local machine stellar capabilities to help them produce texts.

Qwen3

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Think Deeper or Act Faster

Qwen3 Reviews

The community submitted 16 reviews to tell us what they like about Qwen3, what Qwen3 can do better, and more.

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