It also means giving up vision which I don't know how I would deal with. I think I would prefer a weaker model with vision than a stronger without.
It also means giving up vision which I don't know how I would deal with. I think I would prefer a weaker model with vision than a stronger without.
It's odd that the model doesn't support it directly, but they at least have https://docs.z.ai/devpack/mcp/vision-mcp-server
Openrouter definitely supports vision models. Why would you have to give up vision?
> Why would you have to give up vision?
Because you would have to switch model.
You can't just say "Oh, button X looks weird see [screenshot]" while coding with GLM. You would need to switch to another model and then maybe back.
For example if I want to paste a screenshot of what I mean, I can't.
If you using opencode or similar you can just temporarily switch models -- in the same session -- to something that has vision and have it look at your image. And then switch back.
Or create an agent or subagent that just looks at images, and specify a vision model for that agent.
I don't see how that helps, I would still need to somehow get the image into the coding model's context.
vision runs just fine locally for most usecases, so it's really just a skill to call that Ollama instance
Why's that?