Battle of AI for scientific usecases

I'm currently subscribed to the Gemini Pro Model and begin to enjoy it over ChatGPT.
It's summarizing papers in no time, adding references to the exact point in the paper (and even marking the citation in the paper). I find it to be very accurate and fact-based in comparison to current GPT. So far I primarily used it to summarize papers but also to plan an experimental design (randomized experimental between-subjects design). I used both AI models to create possible designs and let them check each others suggestions. They tend to disagree with each other (with a more logical-based line of argument by Gemini - and a rather stubborn line of argument by ChatGPT).

What is your experience? Which AI do you prefer for scientific usecases?
Do you prefer different AI Models for different tasks (research, summary, thinking, fact-checking, investigating sources)?

Thanks for your input!