GLM 5.2 is in an uncanny valley where it's too big to run at home, too expensive and slow in comparison to similarly capable model (a good chart here - https://deepswe.datacurve.ai/), and that's just comparing API prices.
When looking at subscription offering by Anthropic and OpenAI, it's not even comparable, as a Codex $200 subscription can easily use a billion tokens per week on GPT 5.5 high/xhigh.
It's an interesting model from the perspective of being the most capable open weight model. But it doesn't have a solid place in this marketplace right now.
I tried it for a couple of hours this morning and yeah, it's a bit slow, and I needed it in peak hours so it also often can't reach the server so that makes it even slower. And I'm not even sure it's just the model, it could very much be the harness. Stalled for 40 minutes on trivial tool calls like `find`, two times...
It shows potential, answer/code quality was solid, but I would need more time with it.
I'm curious about the computer vision aspect of this tool. Specifically, how was the model which draws bounding boxes around interactable elements trained? Definitely a step beyond existing browser automation software!
I'm itching to know more too, but I'm sure we will all learn plenty in due time. From the post: "they’re participating in the batch like any other company". To me, that means Quora will be participating in demo day, and I'm sure their will be reporter coverage of their pitch. Really excited to see what's in store!
