Do all these models have any significant architectural differences or training data sources? What are the factors going into the diversity of their performance?
The article posted is basically entirely about that.
It's funny: you can give the link to an LLM an ask it questions about TFA without reading it, but an actual human will go out of his/her way to tell you to RTFA :')
There's no point pasting the contexts of the article into the comments here.