Is propensity score matching logit or probit?

Could you please clarify whether propensity score matching is typically done using a logit or probit model? I understand that both logit and probit models are used in regression analysis for binary outcomes, but I'm not sure which one is more commonly applied in the context of propensity score matching. Is there a specific reason why one might be preferred over the other in this scenario?