Live data from Hacker News

GLM-5.3 is now open-weight

huggingface.co

11–20 of 296 posts

Re: GLM-5.3 is now open-weight

#12
post #2

I've been using it more and more. Feels like Opus 4.8, in the best possible way.

I'm starting to think Opus 4.8 is significantly smaller than most people assume. If it's significantly larger than GLM 5.3 (I've heard some insane guesstimates out there like upwards of 5T params or more), that would prove rather embarrassing for Anthropic.

You can't compare models released 6+ months apart. GLM 5.2 was same architecture as 5.3 and not nearly as good. Takes time to build frontier intelligence and distill down to smaller sizes.

Re: GLM-5.3 is now open-weight

#14
post #5

GLM-5.3-Flash is actually cheaper than deepseek and better than deepseek but no one is talking about yet :)

I've been using it quite a bit too. My main complaint is that it can be really slow sometimes — like, really slow — and the speed feels pretty inconsistent.

z.ai is using all Chinese hardware for flash: https://thenewstack.io/glm-5-3-flash-chinese-chips/

There are other providers with much faster inference, like BaseTen at >100t/s: https://openrouter.ai/z-ai/glm-5.3-flash#performance

Re: GLM-5.3 is now open-weight

#15
post #2

I've been using it more and more. Feels like Opus 4.8, in the best possible way.

I'm starting to think Opus 4.8 is significantly smaller than most people assume. If it's significantly larger than GLM 5.3 (I've heard some insane guesstimates out there like upwards of 5T params or more), that would prove rather embarrassing for Anthropic.

I hear the argument here, but isn't it possible it has dramatically more knowledge and when you get outside the common cases many of us use it for, it'll have completely different capabilities?

I feel like most benchmarks cluster on a reasonably limited area of human knowledge

Re: GLM-5.3 is now open-weight

#16
GLM 5.3 is probably the sweet spot open weights model if you want to go beyond deepseek flash or the new glm flash. I used it with pi and had a fairly good time, especially since it’s less touchy about cyber and whatnot than the US guys. It’s slightly behind Kimi in ability but it’s a lot easier to run it, I’d expect prices (and speed!) from third parties to be noticeably better.

Assuming you’re willing to drop a fat stack of cash on the upcoming Mac m5 ultra with 512 gb unified memory, you can even run it locally, quantized to 4 bit. Whether it’s even slightly reasonable, well, my wife would probably skin me alive but maybe yours is more understanding.

Re: GLM-5.3 is now open-weight

#17
post #2

I've been using it more and more. Feels like Opus 4.8, in the best possible way.

I have been only using GLM models since last December and have had the best experience without any drama about tokens and geopolitical restrictions. The quality has been great and I am doing more and more with the latest 5.3 and am really excited that consumer hardware will develop in the next few years where I can run these at home.

Re: GLM-5.3 is now open-weight

#18
how feasible is it build a SOTA specialized model for some use case e.g. deal sourcing by using this as pre-trained model or a LORA or similar pattern on top? Gonna shoot my shot at a billion dollar business

Re: GLM-5.3 is now open-weight

#19
post #12

Earlier quoted context omitted.

I'm starting to think Opus 4.8 is significantly smaller than most people assume. If it's significantly larger than GLM 5.3 (I've heard some insane guesstimates out there like upwards of 5T params or more), that would prove rather embarrassing for Anthropic.

You can't compare models released 6+ months apart. GLM 5.2 was same architecture as 5.3 and not nearly as good. Takes time to build frontier intelligence and distill down to smaller sizes.

It's not that GLM5.3 in full precision unquantized is any smaller, it's 141 * 5.4GB files at approx 770GB which is about the same size as 5.2.

Re: GLM-5.3 is now open-weight

#20

GLM 5.3 is probably the sweet spot open weights model if you want to go beyond deepseek flash or the new glm flash. I used it with pi and had a fairly good time, especially since it’s less touchy about cyber and whatnot than the US guys. It’s slightly behind Kimi in ability but it’s a lot easier to run it, I’d expect prices (and speed!) from third parties to be noticeably better. Assuming you’re willing to drop a fat…

One could also run it locally on a used dual xeon (or amd-equivalent) server with 512GB RAM, albeit slower, if you have a useful workflow for it that's like "take this day's efforts and run it through various analysis agents", combined with giving it one-shot tasks/modules to build overnight. You would want a place like a garage or basement to put the server because it'll be loud.
Post reply on HN