Those cases imply commercial workflows that are prohibited with the open-weights model without purchasing a license.

I am curious to see how the Apache 2.0 distilled variant performs but it's still unlikely that the economics will favor it unless you have a specific niche use case: the engineering effort needed to scale up image inference for these large models isn't zero cost.