[simonw]

I was surprised that GLM 5.1/5.2 are not vision models - they are text input only.

That's actually pretty uncommon these days. All of the OpenAI/Anthropic/Gemini models accept images, and so do the other leading open weight families - Gemma 4, Qwen 3.6, Kimi 2.x.

In GLM's case image input would be useful because it's a model that scores very highly for tasks like web design, but without image input it can't take a screenshot and output HTML+CSS.

Don't get me wrong, GLM is a phenomenal model, but the image thing is a bit of a gap.

[0xbadcafebee]

Configure a subagent in your coding harness to spin up a new sub-session with any vision model for those tasks and feed the result back to the main model. No need for "one model that does everything"

[ashenke]

I had the same reaction with Deepseek V4 ! It would be more useful as a vision model

[_pdp_]

I don't see this being such a big gap. There are some use-cases for sure but apart from UX/UI work it is not really needed. Besides, none of the frontier models can replicate actual images - the can approximate at least in my own experience.

[simonw]

One of my tests for a new model is dumping in a screenshot of a web page and seeing if it can recreate it from scratch in HTML and CSS.

Even the local models I run on my Mac are getting surprisingly good at that now.

[tiahura]

Using llms to generate docx. Being able to rasterize and review is an important part of the process.