Comparing models with different "chain" and "iteration" paramaters

When comparing models, is it problematic if the number of chains and iterations per chain differ across the models? This question assumes that we were to run models with less chains but more iterations per chain for one of the models, keeping the total post-warmup draws roughly or completely equal. We have a device where it makes sense to use 8 chains and another can run 12 simultaniously.

Thank you.

No problem, as long as you have good convergence diagnostics and effective sample size for each posterior.