Learn Qwen Chat in 5 minutes.
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Which Qwen, and thinking or not?
A family, not one
The picker offers flagship, coder-tuned, and vision-capable Qwen models. The specialised variants beat the generalist inside their lane, so the picker is worth two seconds of thought.
Slow mode on demand
The thinking toggle makes the model reason through a problem before answering, trading seconds for accuracy. Save it for math, logic, and gnarly code rather than every message.
Beyond English
Qwen models are trained heavily across languages, with especially strong Chinese and English. Translation, cross-language drafting, and non-English answers are core strengths, not afterthoughts.
What you will do in the lesson
- Choose a model on purpose. You take one coding task and one writing task and pick a model for each, with reasons rather than defaults.
- Toggle thinking on a hard problem. You run the same problem both ways, compare the answers, then decide which kinds of questions justify the wait.
- Cross a language boundary. You draft something in one language and rework it in another, watching what survives the crossing.
- Stress-test a code answer. You ask for code, then interrogate the response for the assumption it silently made.
- Build a routing habit. You finish with a quick drill matching task types to model and mode combinations.
Before you start
Do I need an account with Qwen or anything installed?
No, the lesson runs in this page without sign-ups or downloads. Qwen Chat itself is free to try in a browser afterwards.
Who makes Qwen?
Qwen is Alibaba Cloud's model family, and it has become one of the most downloaded open-weight lines in the world. Many products you meet elsewhere quietly run a Qwen model under the hood.
Are Qwen's answers in English any good?
Yes. The models are genuinely multilingual rather than translated, and English performance is competitive with Western peers on many benchmarks. The multilingual step in the lesson lets you judge for yourself.
I already use DeepSeek. Why look at Qwen?
They are the two leading Chinese open-model families, but they specialise differently: DeepSeek is famous for its reasoning traces, while Qwen's spread of coder, vision, and size variants makes it stronger as a toolbox. If you build things or self-host, Qwen's range is the draw.
