But given the option, do you choose bigger models or more reasoning? Or medium of both?
But the specific nuance of picking nano/mini/main and minimal/low/medium/high comes down to experimentation and what your cost/latency constraints are.
Not really that mich simpler.
Trying to get an accurate answer (best correlated with objective truth) on a topic I don't already know the answer to (or why would I ask?). This is, to me, the challenge with the "it depends, tune it" answers that always come up in how to use these tools -- it requires the tools to not be useful for you (because there's already a solution) to be able to do the tuning.
If you have a task you do frequently you need some kind of benchmark. Which might just be comparing how good the output of the smaller models holds up to the output of the bigger model, if you don't know the ground truth