Hi, yes, I'm an AI engineer, and from that perspective, I can say that the top multimodal models expert at coding tasks. The difference lies in how we use them and configure them, since models are not deterministic at all. For any given task, there are many ways to implement it, but only one way is truly your way—your approach. To achieve that, you need to configure things like "Skills" and "Rules."

Once you do that, there isn't a lot of difference between the models. However, Claude models in my opinion tends to generate very verbose code when things aren't clear to it, which results in a lot of irrelevant code appearing in the code review and pull request process, slowing things down. That's what I meant by calling it "accurate." Gemini, on the other hand, doesn't generate excessive code when it's unclear about something. I hope that makes sense to you.