In general, using single-step models in a multi-step setting, we need to further evaluate and determine the translation of effects of single-step characteristics on multi-step behaviour. Specifically, in the field of retrosynthesis, where multi-step behaviour analysis is still an open question with end-users having various preferences. For example, a reduction in accuracy might be acceptable given the advantages in model size and efficiency gained. Specifically, as mentioned before, single-step retrosynthesis accuracy may not directly translate in a multi-step setting, where diversity might play a more important role and speed might allow for higher exploration. In general, exploration versus time costs should be evaluated further, and exploration should be better calibrated based on single-step models, not necessarily viewed as independent.