The real point of leverage for here is performance/size. Getting traction in the open weights space kinda forces that the models need to innovate on efficiency. This means the open weight models may get leverage that the closed weight ones don't think about.

If we had some aggregated cluster reasoning mechanisms, When would 8x 30B models running on an h100 server out perform in terms of accuracy 1 240B model on the same server.