$GLM Catalyst Posts
June 24, 2026Single-day social intelligence recap and verified catalyst posts Β· β Back to $GLM Profile Β· Market Rankings
π¬ Curated Viral Posts & Community Evidence
15 source posts analyzedΒ· 2026-06-24T05:56:40+00:00Why Would GLM-5.2 Move Away From GRPO? Insights from Zhihu contributor δΉθεΈ TL;DR: GLM-5.2 dropping GRPO does not mean GRPO is βbad.β It means the assumptions that made GRPO attractive for short LLM RL tasks may no longer hold for long-horizon agentic tasks. When rollouts
Β· 2026-06-24T16:57:09+00:00Announcing GLM Arena! A series of tests (infographics, svgs, sites, ect..) ran on GLM 5.2 and Opus 4.8, with prompts included. On average, GLM 5.2 produced 2x the tokens but was still faster + 3x cheaper with similar quality.
AI visual analysis: The image displays a screenshot of a webpage containing two different versions of the same page. The left version appears to be a header, while the right side contains the content for the webpage itself. On the top of the screen, there are some statistics such as "Announcing GLM Arena!" and a list that says "A series of tests (infographics, svgs, sites, etc." along with various other numbers. The text at the bottom also mentions that the webpage was run on GLM version 5.2 and Opus 4.8, providing context about the content displayed in the image.
Β· 2026-06-24T17:00:54+00:00I'm now running GLM 5.2 as my default model in claude code + cursor, and it's cost me *checks notes* $3.36 Today's ep of How I AI is my first reviewing an open weights model, @Zai_org 's GLM 5.2 which (so far) is giving me Opus vibes without the opus $$$ I cover - how to set up
Β· 2026-06-24T03:33:01+00:00GLM-5.2 is the best cost-per-intelligence model on the market right now. ~80% cheaper than Claude, with ~95% of the intelligence of Opus 4.8. Insane value. Most people don't realize how huge a leap this really is. GLM-5.2: $5.80 per million tokens, ~95% of frontier
Β· 2026-06-24T01:47:59+00:00btw Zai IPO'ed in Jan at HK$120 a share. when I first met @louszbd nobody really knew anyone using GLM's. now they have beat deepseek with the world's undisputed top open model and in some respects (see @ml_angelopoulos ) say top model period, and are returning to SF
AI visual analysis: The image features a screenshot of an Excel chart showing a stock's value over time. On the left side of the chart, there is text that reads "KD Knowledge Atlas Tech Jnt" along with information about the stock. Above this information, there is another line representing the stock price that goes up from January to May, reaching $1.48 per share in April and then going down slightly to $1.42 per share by May. The chart also displays a total of $1.86 million spent on trading during this period.
Β· 2026-06-24T18:13:11+00:00I've been watching David's videos for a long time, it's an honor to be in one of his videos. We talk about GLM-5.2, Fable, Local AI [Spoken audio]: So this is running at home, this is my GLM 5.2. It's like a custom compression that I did for it. But if we go here, like this is the same model, right? This is a compression. It's compressed 80%. And so, you know, this is 3D, you know, the flappy bird. And this was a single shot attempt. This is another one. So this is running DeepSeq V4 Flash. There are going to be two sessions left and right that are running. So you can see it's running pretty fast. It's able to do like a concurrency. It's doing its tool calls, reading. This is a private inference that I'm running at home that is capable of doing everything that the frontier models is capable of doing, at least for work, right? So I'm using 374 million tokens a month locally. All right, so, Cero, you're one of the top voices when it comes to local models, open source models on Twitter. What's your thoughts on GLM 5.2? So I've been using GLM 5.2 for a few days now, and well, actually I got access to it sometime last week. they usually give me early access to these models. The entire GLM series lineup from 4.5 up until now has been phenomenal. They're very good at agent work. They're excellent at coding on backend systems. They're really good at Docker and like DevOps type of work. They're good at GPU programming and like anything related to AI ops like ML ops. Like it's the only model that will always just reverse engineer anything. So if you just ask it like here's a thing, reverse engineer it is more than happy to work on it for like eight hours plus to get it to perfect and I really love it. I think it's one of the first models where people don't feel like it's been optimized for benchmarks because that was been one of the main critiques of the Chinese models right that like usually they perform like really well on benchmarks but then when you use it they don't feel as good so do you agree with this statement and do you think like there's something different about this model? I don't agree with this statement I have never really believed this statement you could say the same about the open AI models or the anthropic models that they're bench maxed. And I've found that like the Chinese models tend to make trade-offs. For example, ZAI's trade-off is that they don't have vision in their like coding models. Without vision, it gives it more like space to learn how to code. Because if you want to train it on vision, you're going to have to like have like a vision section, you're going to have to like add training data related to that. And it's going to require it to be bigger, which means it's going to be harder to run and self host and use even deploy for them. So I don't really agree that their benchmark like benchmarks, you know, open AI and anthropic tend to release like a full package. So you take the model and everything just works and it's like, it's like really refined and, and the marketing around it. Like Americans are very good marketers. So we are, you know, like think of Hollywood, think of like, we're very good at convincing people, you know, our stuff is the best. So I would say that's the case, but it is better significantly than anything that's come before it. That's for sure Yeah, I do think like the point about marketing is valid the Chinese models A lot of people just don't want to use them because they come from China Even if the inference is like in Europe or in USA So I do think there's like a marketing issue when it comes to all of these open source models Like how do we fix that? Is it just like better UI better package like better tooling around them better harnesses Yeah, I think I think mainly it's like distribution. So right now if an American wanted to try the GLM models It's not gonna be available on cursor. It's not going to be available in like clod code or codex without you having to go To this website that like is typically not named the same thing as the model You know get get a card connected, you know listen to people telling you it's benchmarks listen to people telling you The Chinese are trying to hack your computers right like it's I think I think it just needs better distribution and so a company that I would like to call out, that does this well, is Factory AI or Droid. So they have like these Droid core models and they use the Chinese open-weight models. I think they host them themselves or they partner with some American company. It is hosted on American soil, but they've been able to get these models over to more people, which is something that I really respect and appreciate. People look at Open AI and then probably it's like a research labs and all these are like technical tech companies and you know scientific efforts whatever but they're also excellent in marketing right because like Anthropic they kind of hyped up their models and they're going to replace 50 percent of the jobs they're going to be dangerous to society and then when the US government slaps them they're acting all surprised but even though like they had it coming so maybe maybe that's a pivot to like fable 5 and what's your thoughts on the model and on the whole situation around it the web is full of public data the problem is actually getting it. The moment you try scraping at scale the websites fight back with CAPTCHAs, raid limits and IP bans. But it doesn't have to be that way. With OxyLabs you give OxyCopilot a target URL and describe what you want in plain English. It builds a scraper, the parser, all of it. OxyLabs literally handles the proxy rotations and CAPTCHA solving for you. And even on the toughest of toughest sites it has over a 99% success rate. If you built in Na10, like I do, the Oxylabs AI Studio node plugs right in. You describe what you want, it scrapes the data, and your workflow handles the rest. Under the hood, Oxylabs has over 175 million residential IP addresses from over 195 different countries, giving you real-time data for nearly any website. Plus, they have a new fast search API that can drop organic search results straight into your AI pipeline. And by the way, OxyLabs gives you 2,000 script results for free. Just try it at oxylabs.io slash david. And make sure to use code David to get 20% off any paid plan. Thank you to OxyLabs for sponsoring this video. So I have, I used the model the entire time it was out. I think like in API credits, I used about $1,500 in two days. And I've tried like various types of prompts on it. So I have this directory on my computer called slash person. It's just personal and it has all of my medical records all of my social media posts all of my Google data Like I just download everything from all the sites which you can do pretty easily like in X settings You can go and download personal data and Google takeout Let's you take all your Google YouTube Gmail calendar stuff out and so I download this stuff and I rag it and I put it on my computer and it's Super useful in my opinion because I get like good search and I can you know have like conversations and extract insights But I put it there and I just had it like go over things and then I told it Just give me like some insight or like some topic to make my life better It found essentially like 25 out of the 27 or years of my life And then it said like it wants to talk to me about that missing two years And that was the first model that's ever done anything like that and then it just like it like it was like acting like some kind of Psychiatrist psychologist like it was very good at human communication and and portraying empathy Which is rare like GPT models don't do that at all. They will shut down these types of conversations The Chinese models tend to be like more Tailored towards coding and they're not necessarily that great at this kind of thing So I really loved that part of it. That was like mind-blowing to me But there is this important thing that I've tried So there is a game called Bloodborne where you just like go and it's like a Japanese action role-playing game And you're the first level is like you start off at like a square and then you have to make it through the fireplace Fight these enemies then go on a bridge fight the enemies and then go on to fight like this massive werewolf type creature So I give this prompt to all the models. I just say rebuilt Bloodborne basically that like very short prompt starting from Gemma 331b they will Basically get the components of it, right? So but everything is just this like a block like a square block You know the gun is a square block the the weapon is a square block So there is no detail in the outputs and now as the models get larger and larger You start seeing more and more detail in the same functional thing, right? It's like the same thing that they're outputting But there's just like so much more detail to it And I found that the like the fable model outputs for that specific game benchmark that I do to be really like true to the actual game like the types of enemies that there were were the same the types of like behaviors and game mechanics were the same and so I think that the model is capable like the size of the model makes it capable of extreme detail and I really like that about it I think it's a shame that we don't have access to it right now yeah I mean I had the same experience for all the projects I wanted to build I just like you can see on my get-up those four days or whatever just like way more contributions I just got way more done and also it like the difference I would describe it as like a you know opus 4.8 and 5.5 pro or like X high are more like tools they really feel like tools you need to exactly explain what you're doing but with fable it felt like an actual contributor sometimes I didn't have to explain what I was doing but it understand why am I doing it like the the deeper intent behind it and yeah it felt like like something else is working on this project with me not like I have to be constantly the direct and like give all the details. Yeah, I understand exactly what you mean. So the main thing about that model that I think we should keep in mind is that there is a honeymoon period to everything. So whenever a new model comes out, everybody's excited. Everybody's like, you know,
Β· 2026-06-24T15:00:02+00:00GLM 5.2 didn't just shake openai and anthropic it made gemini 3.5 pro launch look rough by performing far ahead while being priced close to gemini 3.5 flash, forcing google into a very awkward value comparison whatever DeepSeek did, this is orders of magnitude bigger
Β· 2026-06-24T14:59:00+00:00Frontier-level intelligence. Without frontier costs. @Zai_org 's GLM-5.2 is one of the most capable open-weight models available. 145 tok/sec. 1M context window. MIT license. A model that fast, that open, needs infrastructure to match. That's io.net.
Β· 2026-06-24T02:01:32+00:00Brothers, there's new action in the AINFT ecosystem this week~ GLM-5.2 officially lands on AINFT! Big news: GLM-5.2, this new generation open-source large model, has gone live on AINFT! Now, whether you're using the API or chatting directly on the web, you can sync it up
Β· 2026-06-24T20:03:58+00:00GLM-5.2-Reap makes nice Japanese temples.
Β· 2026-06-24T01:51:32+00:00GLM-5.2 has been officially integrated into AINFT, with API + Web Chat now synchronously available on both ends, ready for direct use. The focus of this upgrade is clear: integrating "model capabilities" with "usage entry points" in one go. As Z.ai's
AI visual analysis: The image features a blue background with white text that reads "AINFT now supports GLM 5.2". Below this, there are two icons representing Z.ai and a chatbot icon. The text also mentions that the platform supports access to top AI models in one place.
Β· 2026-06-24T07:05:35+00:00GLM 5.2 is now available on both OpenGateway and OpenClaude with 10% discount for premium users. Ads sponsorship is also available in OpenClaude v0.20.0 .
Β· 2026-06-24T03:06:50+00:00GLM has to be the most successful model series that started off in academia by far
Β· 2026-06-24T15:43:21+00:00I've gone down the rabbit hole on GLM 5.2 and the Chinese open-source models are functionally indistinguishable from the world's best closed frontier models for most users. I wonder how long this takes the market to start pricing this in, maybe after the anthropic and openAI
Β· 2026-06-24T00:43:24+00:00I want more builders to try GLM-5.2 on #OpenModels. So Iβm giving away credits. 10 winners 5,000,000 credits each, can access DeepSeek, GLM, MiniMax, Kimi, Qwen etc, one api key. To enter: 1. Follow me 2. RT 3. DM your account Create one here if you donβt have one yet:
