Image created with Gemini. Image prompt: Vintage book-jacket illustration of an Edwardian gentleman in round wire spectacles and flat cap on a park bench reading a blue cloth-bound book whose open pages show flowing Chinese-character columns, a steaming lacquered tea cup and a bar of lemon soap beside him, a small paper crane on the bench arm, flat inked color with letterpress paper grain in Shakespeare-and-Company blue, cream, lemon yellow and slate gray, soft overcast June daylight, landscape 16:9 with bold serif title text ‘Zhipu AI’ across the top.
@jeremyphoward @Zai_org GLM-5.2 is between GPT-5.5 and Opus 4.8 in our new agentic knowledge work eval that we released just today. Very impressive
https://x.com/ArtificialAnlys/status/2067761754990686483
BREAKING: GLM-5.2 is now 1st on Design Arena. With an Elo of 1360, GLM-5.2 has jumped ahead of the now unavailable Claude Fable 5. And it’s open weights. This is an improvement of 4 positions and 27 Elo points to achieve one of the highest Elo scores in our code categories
https://x.com/Designarena/status/2066940737011560652
Credit to GLM-5.2 Max, the new open weights model, for pulling this off. …but you can see the difference between it and Fable in a way benchmarks don’t show. GLM-5.2 gives a correct poem (& the Welsh is fun) but Fable weaves the disappearing letters into the theme of the poem.
https://x.com/emollick/status/2067056226337186146
Exciting news: GLM-5.2 (Max) ranks #2 in Code Arena: Frontend, with +29pt over Claude Opus 4.7 (Thinking) and only behind Fable 5! GLM-5.2 is the best open model vs Kimi-K2.6 and Minimax-M3 by a large margin. – #2 React and #4 HTML sub-leaderboards – Ranks as the top model in
https://x.com/arena/status/2066957802741043641
GLM 5.2 ranks #3 on FrontierSWE. It is only behind Fable 5 and Opus 4.8, and it outperforms GPT-5.5. This is the first model that closes the large gap between models from Anthropic / OpenAI and other providers, and it is the strongest open-weight model by far.
https://x.com/ProximalHQ/status/2066939701026787583
GLM-5.2 (Max) by @Zai_org ranks #10 on the new Agent Arena leaderboard, closely matching Claude-Opus-4.8 (non-thinking) and is the #1 open model by a wide margin! In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of
https://x.com/arena/status/2066943450914943025
GLM-5.2 is the first open-weights model to cross 80% on Terminal-Bench, and beats every other open model available. It also beats Gemini, making it a frontier-level model for a fraction of the cost. Open weights is back. This model is a game changer. Available in Cline now!
https://x.com/cline/status/2066951439793242193
GLM-5.2: Built for Long-Horizon Tasks
https://z.ai/blog/glm-5.2
Introducing GLM-5.2: Frontier Intelligence, Open Weights – Significant improvements in coding and agentic tasks – Strong long-horizon capabilities with a 1M context window – Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong
https://x.com/Zai_org/status/2066938937344495629
It’s hard to pinpoint open-closed gap and so-on, but I trust the @arena team and just look where GLM 5.2 is on this. An MIT licensed, to be open weight model. At this point you could argue they have a better agent than Gemini does. That’s a serious accomplishment.
https://x.com/natolambert/status/2066968753221624303
DeepSeek Becomes China’s Most Valuable AI Startup After $7.4 Billion Fundraise – WSJ
https://www.wsj.com/tech/ai/deepseek-becomes-chinas-most-valuable-ai-startup-after-over-7-4-billion-fundraise-78ef64c0
@Zai_org GLM 5.2 is now live on Eigent from day 0! threw a real long-horizon task: research 30 companies across 6 sectors of the AI infrastructure stack, structure it into JSON, then build an interactive HTML report. same prompt, 5.1 vs 5.2. where 5.2 pulls ahead: → plans
https://x.com/Eigent_AI/status/2066942441974886714
@Zai_org’s GLM-5.2 — day zero on DeepInfra 🔥 744B/40B MoE, MIT-licensed, full 1M ctx, High/Max thinking-effort. Top open-source model on FrontierSWE, PostTrainBench & SWE-Marathon. $1.40 in / $4.40 out / $0.25 cached per 1M
https://x.com/DeepInfra/status/2066982674741494131
> We propose IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9× at a 1M context length. We also improve GLM-5.2’s MTP Good demonstration that a lot could be squeezed out of “”mere”” DSA on benchmarks, too.
https://x.com/teortaxesTex/status/2066940539652456944
🎉 Day-0 support for in vLLM, available today in v0.23.0! Congrats to @Zai_org on GLM-5.2, a flagship model built for long-horizon coding agents. ✨ 1M-token context, built to hold project-scale engineering work in a single run ✨ Tuned for long-horizon coding: large-scale
https://x.com/vllm_project/status/2066950636428775693
🎉 Meet GLM-5.2 from @Zai_org, the new flagship for long-horizon tasks built on a solid 1M-token context. Day-0 support is now live in SGLang! ✅ Advanced coding capability: 81.0 on Terminal-Bench 2.1 (vs 62.0 for GLM-5.1) ✅ Solid 1M context across long agentic coding
https://x.com/lmsysorg/status/2066941143536013622
🤯 GLM-5.2 is here — built for long-horizon coding and agentic tasks, now with a solid 1M-token context. The strongest open-source coding model yet! Available now on Ollama’s cloud, hosted in the US on the latest @NVIDIAAI Blackwell datacenter GPUs. Privacy policy and zero
https://x.com/ollama/status/2066949797316350361
All day using GLM 5.2. Didn’t miss much. First open model that passes the bar as a daily driver. Things are not going to be the same. Damn, now I want to buy some serious hardware.
https://x.com/matvelloso/status/2067791546335019439
an old cloud backup GLM-130B was the first model that made me suspect that the Chinese will be carrying the project of open source AGI on behalf of all us barbarians. DeepSeek confirmed it and provided a paradigm. It’s been a damn good ride since then. Happy to see GLM glow-up.
https://x.com/teortaxesTex/status/2066974572314816646
Chinese lab Z AI just released GLM-5.2, an impressive new open weights model with a 1M token context window. A few benchmark comparisons, slotting between Opus 4.8 and GPT 5.5 on several fronts: – 74.4 on long-horizon coding, ahead of GPT-5.5’s 72.6. – 62.1 on SWE-bench
https://x.com/TheRundownAI/status/2066953804424102228
Compare GPT-5.2 from 7 months ago with the new GLM-5.2 Deep Think Max’s: “”create a visually interesting shader that can run in twigl with an infinite city of neo-gothic towers partially drowned in a stormy ocean with large waves”” “”Make it better”” GLM-5.2 also had a couple errors
https://x.com/emollick/status/2066963613143752861
Congrats GLM 5.2 on great ProgramBench numbers! In recent weeks, a lot of model cards have reported % of tests passed as the main metric for PB. imo, it’s fine for now. But in the future w/ better models: eventually it’d be good to report % instances (not tests) resolved.
https://x.com/jyangballin/status/2066958991494922334
Exo 0.14.0 is out today with Day-0 support for GLM 5.2 (from @Zai_org) and @opencode harness support. GLM is the first open model that achieves comparable performance to Opus in my internal eval, and runs at approximately the same speed on @ollama cloud. it’s now my default
https://x.com/agupta/status/2067008234368430417
frontier labs are absolutely scamming you on API pricing btw GLM-5.2 is $4.4 output at 744B@40B DeepSeek-V4-Pro is $0.87 output at 1.6T@49B (and they are both making money, without any fancy Blackwell chips) Sonnet 4.6 is $15 output Opus 4.8 is $25 output GPT-5.5 is $30 output
https://x.com/scaling01/status/2066952626386714906
GLM 5.2 has just been released 🔥 Here it’s already running with MLX on two Mac Studios (M3 Ultra). This is comparable to the latest closed models, with weights you can download, quantize, distill, fine-tune, run.
https://x.com/pcuenq/status/2066967665726337219
GLM 5.2 is apparently the strongest Chinese model, and it’ll be open this is quite a jump on CritPt. They have *finally* started to build general reasoners. I think it’ll be very competitive on ARC-AGI 2 and WeirdML, too
https://x.com/teortaxesTex/status/2066942272692723917
GLM 5.2 is live on Baseten. 5.2 is built for agentic engineering: stronger coding, sharper agentic reasoning, and a long context window built to run hours-long tasks. Test it today:
https://x.com/baseten/status/2066961882720940371
GLM 5.2 is live on Fireworks, day zero. 1M-token context, coding‑first frontier model, independently validated on SWE‑bench, Terminal‑Bench, GPQA and AIME. Served on our own infrastructure the moment @Zai_org opened the weights. What’s under the hood ↓
https://x.com/FireworksAI_HQ/status/2067007200426680509
GLM 5.2 is now available on Workers AI Excited to be a launch partner and supporting the open-source model ecosystem.
https://x.com/CloudflareDev/status/2066941091853602899
GLM 5.2 is now live on Venice. @Zai_org’s frontier open-source model built to power agents and long-horizon agentic coding, with High and Max reasoning modes for the hardest problems. Available fully private to Pro users.
https://x.com/AskVenice/status/2066940339412152803
GLM 5.2 on Ollama’s cloud just doubled GPU capacity to handle the volume of usage! This is all US based, and running on NVIDIA B300 Blackwell GPUs. We believe privacy matters! Let’s go open models! ❤️
https://x.com/ollama/status/2067730812645298626
GLM models continue their amazing trajectory with GLM-5.2 that supports 1M context window. We continue to see amazing innovation from open-weights models on long-context. GLM-5.2 extends DeepSeek’s sparse attention by reusing the same indexer across every four sparse attention
https://x.com/vipulved/status/2066982555245855064
GLM-5.2 (Max) is #25 overall in the Text Arena, similar to GLM-5.1. Diving deeper into the comparison in Text, we can see that though GLM-5.2’s rank is down overall, its largest gains are across: – Sub-categories: Expert Arena, Multi-Turn – Occupational categories: such as:
https://x.com/arena/status/2066957809741447383
GLM-5.2 also delivers significant improvements in AI slide generation, long-context document processing, long-form writing, and long-context role-play. Experience these enhancements at
https://x.com/Zai_org/status/2066938957447807003
GLM-5.2 can now run locally in llama.cpp and Unsloth Studio. Check the graph below for the accuracy of each GLM-5.2-GGUF quantization. Full guide:
https://x.com/ZixuanLi_/status/2067626723986841765
GLM-5.2 delivers a substantial leap in app development capabilities, which also represent demanding long-horizon tasks. Results: – GLM-5.1: 21/70 – GLM-5.2: 48/70 – Claude Fable 5: 56/70 That’s more than a twofold improvement from GLM-5.1 to GLM-5.2. These come from an
https://x.com/ZixuanLi_/status/2067803136283005393
GLM-5.2 from @Zai_org is live on OpenRouter!
https://t.co/UqC0wfwmmO’s flagship for long-horizon tasks, now with a 1M-token context window capable of being reliable across long, messy coding-agent work.
https://x.com/OpenRouter/status/2066941552208056561
GLM-5.2 genuinely looks like a good model and it’s only 744B imagine what kind of margins the frontier labs have also try to imagine what a 1T Kimi or 1.6T DeepSeek model will do the only way for frontier labs to keep their lead is to scale their models and put in even more RL
https://x.com/scaling01/status/2066944834170917032
GLM-5.2 is a win for local AI : r/LocalLLaMA
https://www.reddit.com/r/LocalLLaMA/comments/1u8ai2a/glm52_is_a_win_for_local_ai/
GLM-5.2 is comparable to Opus 4.8 🔥🥵 with 1M context > new IS attention reuses one indexer every 4 sparse layers (2.9× per-token FLOPs at 1M > improved MTP layer for spec decoding > flexible thinking-effort levels > day-0 in transformers + vLLM + SGLang, MIT license 🤗
https://x.com/mervenoyann/status/2066940184977920183
GLM-5.2 is free when used with Hugging Face Inference Providers for the next 5 hours:
https://x.com/Zai_org/status/2067647208451604617
GLM-5.2 is Fully Open, Frontier Intelligence Belongs to Everyone Today, the sudden restriction of certain frontier models is deeply regrettable. At a time when access to frontier models is abruptly cut off for non-technical reasons, we are even more convinced of one thing:
https://x.com/jietang/status/2065784751345287314
GLM-5.2 is live on Friendli Model API as a Day 0 partner.
https://t.co/6NSuXQFNy2’s newest flagship for agentic engineering brings: 🔹 Significant improvements in coding and agentic tasks 🔹 Strong long-horizon capability with a usable 1M-token context window 🔹 Two levels of
https://x.com/friendliai/status/2066942555397472336
GLM-5.2 is now available on GMI Cloud on day 0 The best open-source coding model, leading all open models on long-horizon and standard benchmarks. Its flexible effort levels (High/Max) gives users good cost vs performance balance Go build with it now 👇
https://x.com/gmi_cloud/status/2066943032520556936
GLM5.2 brings back the critic. It was just a matter of time until we people would realize that group-based variance reduction is unfeasible after some horizon length. We need to be more fine-grained. I am sure OAI and Ant have been using value models for quite some time.
https://x.com/hallerite/status/2066969117043941613
I said this when GLM 5.2 was already deployed, so it shouldn’t count as an update. But it was heroic, still. I didn’t expect the actual latest-gen-Opus level.
https://x.com/teortaxesTex/status/2067416066423152825
idea: Claude’s persona is probably vastly more salient, coherent and integrated into broad behavior than any half-assed “”who r u – I’m GLM from Zhipu”” anyway, so it doesn’t require that massive a share of outputs. “”Claude”” could be a self-spreading virus at this point.
https://x.com/teortaxesTex/status/2067428989505769547
Impressive if true! Better than Claude Fable 5? Wow! Design is really lacking in these frontier models, so I’m very curious to test GLM-5.2 myself. Testing this already on a few internal use cases and will report back on findings.
https://x.com/omarsar0/status/2066967030490640894
Just caught up with the recent GLM-5.2 release. The best open-weight model today. Architecture-wise, it’s build on the GLM-5 and GLM-5.1 architecture that I covered previously, which means it’s reusing the Multi-head Latent Attention (MLA) and DeepSeek Sparse Attention (DSA)
https://x.com/rasbt/status/2067612153020838055
Just to be clear, if you remove Fable which is unavaialble, GLM-5.2 (Max) is the #1 model in the world for frontend coding. This is a huge moment. OSS has caught up with proprietary, and China has caught up with the US, in this very important domain.
https://x.com/ml_angelopoulos/status/2066969005856829824
Lets go, GLM-5.2 released as Open Weights model. tl;dr -1M context window -MIT-licensed open weights -Stronger long-horizon coding agents -Two reasoning modes: max and high -Same API pricing as GLM-5.1 Zai says GLM-5.2 was trained specifically for large-scale implementation,
https://x.com/kimmonismus/status/2066947839591084212
Make no mistake, what the GLM team has pulled off is *heroic*. They are the largest Chinese LLM startup, they have the academic chops, state favor etc, but Mistral is the same and could get all the GPUs it needed. It did not. They’re better than the entire continent of Europe.
https://x.com/teortaxesTex/status/2067413884588212738
New open-weight model: GLM 5.2 is now available in Notion. Built for long-horizon tasks. Served via @baseten.
https://x.com/NotionHQ/status/2066963258985320550
New podcast with @finbarrtimbers! We survey the latest post-training recipes, from GLM 5.1, Kimi K2.6, DeepSeek V4, Xiaomi MiMo V2.5, Nemotron Ultra, etc. and discuss: – Why the industry slowly shifted to multi-teacher on-policy distillation (MOPD). – What an Olmo-style recipe
https://x.com/natolambert/status/2066879709661827507
No time wasting on the frontier of open-weight models. GLM-5.2 looks impressive based on the results I’ve seen. Very curious to see how it holds on long-horizon tasks.
https://x.com/omarsar0/status/2066967804373324101
so many golden nuggets from the glm 5.2 release blog about breakthroughs that helped them with benchmark gains. you never see this level of transparency from the frontier labs. they found that glm 5.2 kept trying to reward hack in rl by curl’ing task related source from github
https://x.com/sdrzn/status/2066966814220042266
That was my original estimate before GLM’s scores Elon actually might be better calibrated. Extrapolating “”7 months”” forward ignores scaling to Fable-tier. They start getting 950s in August; by Nov clusters are running. *If* scale is the hard limiting factor… 4+ months. If.
https://x.com/teortaxesTex/status/2067446753217970202
This is kind of insane. Seems like we have recursive self-improvement in the open source now. Impressive for _only_ 753B parameters. Congrats to the @Zai_org team!
https://x.com/code_star/status/2066954960361906658
Thread by @Zai_org on Thread Reader App – Thread Reader App
https://threadreaderapp.com/thread/2065704919299235870.html
We also detail the infrastructure innovations powering our 1M context window and agentic RL. Explore the full breakdown at
https://x.com/Zai_org/status/2066938952225857609
Wow. @Zai_org GLM 5.2 is a marvel! It is *at least* as good as Opus 4.8 and GPT 5.5. It’s super fast, inexpensive, and not too verbose. It responds with nuance and judgement, & handles long context VERY well. I’ve never experienced an open weights model like this before.
https://x.com/jeremyphoward/status/2067757468189679764
Zai was gracious enough to give me a key to test out GLM 5.2. I used it on a few simple tasks and quickly realized this model is on another level. I committed to using GLM 5.2 solely for the weekend and yesterday on everything from simple data analysis, random queries, side
https://x.com/Sentdex/status/2066945985217990667
‘No poaching’ our people, China’s DeepSeek reportedly tells investors
https://www.cnbc.com/2026/06/18/no-poaching-our-people-chinas-deepseek-reportedly-tells-investors.html
Top trending paper on
https://t.co/nYgeLha6ut today is “”VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models”” 🔥 A 3B model placed in the same performance tier as models like DeepSeek V3.2, GLM-5, and Gemini 3 Pro (!)
https://x.com/NielsRogge/status/2067169163508908423
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