Its believed (probably more just fact) that a lot of the open source models leverage larger models. Either directly through distiallation (meaning training a model directly off of another) or by using the larger models for knowledge distiallation (basically using the larger models as "ground truth" for training workflows).

Either way, this means the open source models would always be "a few months behind" as they rely on the progress of the closed source models to improve themselves.