Sorry for not getting to you earlier.
Unfortunately Bayes factors are quite tricky to get right and easy to mess up. I admit to not understanding them much. So I think there definitely is a risk when using them for more complex models than linear regressions, although - in theory - they should work even for the hurdle case. Which models to actually compare should be primarily dervied from theory/research question you are investigating, no general rules here.
Tagging @Henrik_Singmann for potential additional insights (hopefully he has time).
Here are my current thoughts on some other options you have beyond Bayes factors, that might be easier to reason about: Hypothesis testing, model selection, model comparison - some thoughts
Best of luck with your model!