A generated game scene can be an invitation to experiment. Choosing a coding model for real work calls for a narrower question: can it reliably produce the behaviour your project needs? A small, explicit task gives that question a useful shape.
Write down the setup first
Google’s current documentation identifies Gemini 4 Argon with the code gemini-4-argon and lists thinking levels and tool capabilities separately. Record the model code, selected effort and available tools alongside a result. Otherwise two attractive outputs may conceal very different working conditions.
Define behaviour before judging the picture
For a small browser app, choose a few acceptance conditions: an item must be added, edited and deleted, for example. Describe the visual brief separately. That allows function and appearance to receive separate judgments.
Give the models the same starting files and requirements. Set the time and correction opportunities in advance. Keep notes on failures and repeat runs as well as the selected result. A polished final screen tells less about the workflow if the steps needed to reach it are missing.
Compare the work you will actually do
A simple record can separate appearance, completed functions, elapsed time and human corrections. That makes it possible to weigh an elegant incomplete interface against a plain one that meets every requirement. It is a proposed test structure, rather than a ranking of models.
Milo’s assessment
Choose the fit, not just the size. A demonstration is useful for finding an idea to try; a decision needs a repeatable task with clear conditions. The best comparison is the one that makes the next choice in your own project easier.
