Live data from Hacker News

GLM-5.2 is the new leading open weights model on Artificial Analysis

artificialanalysis.ai

401–410 of 476 posts

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#401
post #387

Earlier quoted context omitted.

> Of course if you convert those values to actual request cost, GLM 5.2 will probably beat GPT 5.5/Opus 4.8, but speed matters for a lot of people, I think. GLM5.2 ends up being far more expensive than I thought it would be when I tried it on openrouter. I ground through $5 USD worth of tokens quite quickly. And this was high, not max.

Using these open models really makes you realize how subsidized Anthropic and OpenAi's subscription plans are.

Absolutely. You can also run codeburn or ccusage and they'll scan the session files and tell you how much you burnt in API token pricing equivalent.

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#402
post #399

Earlier quoted context omitted.

> GLM 5.2 Max = Opus 4.8 Max in thinking behavior This is insane! I can't wait until technology progresses to the point we can run these things on consumer hardware!

you need 8 x 96GB Blackwell or equivalent so around US$150k which is Small/Medium-Enterprise territory already, but who knows when it will hit "reasonable" home consumer territory I think there's hope future generations of unified memory machines may get this sort of memory availability when new fabs open in then next couple of years and then ramp up production for a few years afterwards - that makes ~2030s credible…

> I think there's hope future generations of unified memory machines may get this sort of memory availability

I hope you're right. This is a very exciting idea. The weights are out there. The demand is astronomical. The manufacturers just need to make it happen.

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#403

Earlier quoted context omitted.

> GLM 5.2 Max = Opus 4.8 Max in thinking behavior This is insane! I can't wait until technology progresses to the point we can run these things on consumer hardware!

Are there any indications that this will be possible? Consumer hardware will continue getting better but I can't see 512GB RAM in a MacBook Pro any time soon. I'm hoping linear attention techniques plus MoE will make breakthroughs in size/compression and throughput.

There will be a 1024GB unified memory MacBook Pro.

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#404
post #399

Earlier quoted context omitted.

> GLM 5.2 Max = Opus 4.8 Max in thinking behavior This is insane! I can't wait until technology progresses to the point we can run these things on consumer hardware!

you need 8 x 96GB Blackwell or equivalent so around US$150k which is Small/Medium-Enterprise territory already, but who knows when it will hit "reasonable" home consumer territory I think there's hope future generations of unified memory machines may get this sort of memory availability when new fabs open in then next couple of years and then ramp up production for a few years afterwards - that makes ~2030s credible…

there are cheaper ways to do it. not like, consumer-cheap, but I'm setting up a rig for 80% cheaper than that.

I'm a tad worried about triggering a run on the particular hardware I'm buying though so I'll leave it vague here, but hit me up on Discord if you're curious.

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#405
post #2

It seems to really be a nice step-up and is getting quite close to the frontier. I wish they'd start focusing on the reasoning efficiency now, though. I have a simple (relatively) test task to evaluate LLMs: writing a simple math evaluator library in Nim (it's about 400-600 lines total max), and GLM 5.2 (xhigh which maps to max effort) spent over 15 minutes (!) reasoning, spending about 45k tokens, before it finally…

You asked for maximum effort, you got maximum effort

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#406
post #2

It seems to really be a nice step-up and is getting quite close to the frontier. I wish they'd start focusing on the reasoning efficiency now, though. I have a simple (relatively) test task to evaluate LLMs: writing a simple math evaluator library in Nim (it's about 400-600 lines total max), and GLM 5.2 (xhigh which maps to max effort) spent over 15 minutes (!) reasoning, spending about 45k tokens, before it finally…

Reminiscent of https://en.wikipedia.org/wiki/Portia_(spider)

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#407
post #120

FYI.. This is coming with 3mil GLM 5.2 tokens right now. (Needs login. Google SSO fine) https://zcode.z.ai/en

Where can I read more about the coming 3mil GLM 5.2?

I meant the credits are included in the application you download from there. Install, log in (via google) and You'll get glm 5.2 + turbo. Mine actually either got replenished or they are not checking by login because they are full after installing at a second desktop.

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#408

For anyone who's interested, I've put together a simple site for sharing ratings/opinions on models at a task-specific granularity. https://model.reviews/ The idea is that benchmark score comparisons are useful for a large cross-product comparison across models + their settings, but less useful if you're looking for the best model for . So I thought having a place to review and comment could be beneficial to people.…

I get a 500 when clicking “Explore the Models”

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#409

Earlier quoted context omitted.

> GLM 5.2 Max = Opus 4.8 Max in thinking behavior This is insane! I can't wait until technology progresses to the point we can run these things on consumer hardware!

Are there any indications that this will be possible? Consumer hardware will continue getting better but I can't see 512GB RAM in a MacBook Pro any time soon. I'm hoping linear attention techniques plus MoE will make breakthroughs in size/compression and throughput.

[deleted]

Re: GLM-5.2 is the new leading open weights model on Artificial Analysis

#410
post #4

Why aren't more people talking about this? It's literally Opus 4.7 quality stupid prices. I know providers who are offering this at unlimited tokens for $50 a month. Some are even offering API rates at 3x lower than the official ZAI api rates which are already like 10x cheaper than Opus. (Crof and Umans btw) This is a huge blow to Anthropic/OpenAI/Google and a massive win for the rest of the world. The official API p…

I've tried Chinese open models few times before. They were fine, but they didn't come close to the benchmarks they were claiming.

Now, maybe GLM 5.2 is close to Opus 4.7, but I don't wanna keep checking them and keep finding that they're still benchmaxing and aren't at GPT (my choice) or Opus level. The boy who cried wolf, I guess.

Post reply on HN