They do not and it sucks for certain tasks.

It also means that if they actually trained with vision, they'd be on par with Anthropic models as vision seems to improve model performance across the board even for non-vision tasks.

Many other open source models have vision but they don't compare to GLM in terms of coding quality. So I don't think it's because of vision that the frontier models are better, it's more that they are probably just much bigger models.

it helps giving them a cli vision tool (curl to openrouter vision model for example)