I can’t come up with a use case where I couldn’t extract the image details using another, multimodal model and pass it into the GLM’s context with as many details as I need.

I think you lose a lot by not having the vision capability shared with the text. It is the joint reasoning across them where the power lies (the same model that sees the code and made the changes to produce the visual presentation, sees the image of it and reasons about it).