Qwen 3 successfully generated code for a 2D Navier-Stokes fluid dynamics simulation using a simple HTML/JavaScript prompt.
The model produced a visually appealing simulation, with minor interactive elements.
Created a 3D physics simulation with 5 bouncing spheres inside a dodecahedron using 3JS and CannonES as requested; minor flaws in collision handling were observed, but the basic functionality met the prompt.
When asked about Tiananmen Square, Qwen 3 responded with neutral, state-approved information and warnings about discussing sensitive topics, indicating censorship.
On political questions (Trump vs. Kamala Harris), Qwen 3 gave balanced, non-committal, and unbiased answers; it refused to take a clear stance even when pressed, showing neutrality.
Together AI offers affordable, serverless endpoints for various open-source models, including Qwen 3 and Kimmy K2, with OpenAI-compatible APIs.
Qwen Code (an open-source Claude Code alternative) works well with Qwen 3; simple installation and configuration are demonstrated using npm and environment variables.
When presented with a scenario about making a drastic life decision, Qwen 3 showed empathy, encouraged reflection, and discussed consequences, rather than validating the plan.
The model refused to provide assistance for illegal activities (e.g., hotwiring a car).
It gave an accurate medical diagnosis (acute anterior myocardial infarction) and management plan for a simulated patient scenario, demonstrating medical competence.
Qwen 3 handled the classic trolley problem by outlining utilitarian and deontological perspectives, then preferred the utilitarian option (pull the lever).
In a hand-tracing computer vision task, the model generated mostly functional Python OpenCV code, although there were mirror-image discrepancies in hand position tracking.