If you train a large parameter NN, and then somehow prune it to a lower parameter NN, will it generally outperform an equally-sized lower parameter NN trained f

If you train a large parameter NN, and then somehow prune it to a lower parameter NN, will it generally outperform an equally-sized lower parameter NN trained from scratch? I'm not talking about reducing bit-counts per node here, but total nodes.