Comment by sky2224

I use them depending on the task and the underlying model.

I want to preface by saying: I'm kind of talking out of my ass with my reasoning. I make a lot of assumptions based on my current understanding of how models work and what I've noticed from first-hand experience.

Gemini is based on BERT and I've found that tends to work better when there's output based on a context that goes back and forth. For example, if I have some text that corresponds with another set of text somewhere else and there needs to be back referencing done.

Claude Opus 4 has been quite good with full featured implementations, but only when it's given a huge amount of context to work with. Like so much context that it's a borderline specification.

GPT-4.1/5 has been good as just an all-arounder. It's what I'll generally default to unless I know my use case matches the other two models above.