Which AI draws a capybara on a bicycle best?
A guide presents a competition between AIs to draw a capybara on a bicycle.
The guide presents an open test for comparing how different artificial intelligence models draw a capybara on a bicycle. It asks 19 models for the same drawing in SVG code: some run on your own computer, while others use Claude and Codex tools. Then a judge compares the images in pairs without knowing which model made each one.
The approach helps you see how each model handles shapes and composition, without relying only on ready-made result lists. The guide reports that Claude Fable 5.1 won most of the matchups and that a local model, Qwen 3.8 27B, came in fifth. You can also run the kit with models you already have and compare results for a task that matters in your work.
To get started, you need Python 3.10 or later; the other engines are optional, and you can remove any you do not have from the configuration file. The guide suggests starting with two or three models. Also check whether each one produces valid SVG and whether another judge agrees with the assessment: these clues help you understand the test results.
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