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Open-weights models have officially caught up We tried GLM 5.2 in BrowserCode > Near Opus-level score > Cheapest model to date This task took $0.18 Try it now ↓

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76,133 views • 3 months ago •via X (Twitter)

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Holy Smokes GLM 5.2 beats Opus in many webdev task😳 This is the best open model , according to jietang said FABLE like model from them before Q1 2027 . i can trust them , just make glm fat with vision we will have fable Left Right

Holy Smokes GLM 5.2 beats Opus in many webdev task😳 This is the best open model , according to jietang said FABLE like model from them before Q1 2027 . i can trust them , just make glm fat with vision we will have fable Left Right

Chetaslua

22,926 views • 3 months ago

Opus 4.8 vs GLM 5.2 everyone is praising Glm on my timeline, so i had to test it myself > both models were given the same prompt > GLM was super fast and used like 2% of my weekly limit > Opus took over 20 mins and used like 3% of weekly limits which one do you think won?

Opus 4.8 vs GLM 5.2 everyone is praising Glm on my timeline, so i had to test it myself > both models were given the same prompt > GLM was super fast and used like 2% of my weekly limit > Opus took over 20 mins and used like 3% of weekly limits which one do you think won?

J A Z I I

48,130 views • 3 months ago

We built the cheapest AI Router Every model is discounted up to 81%! ZDR is available Try it ->

We built the cheapest AI Router Every model is discounted up to 81%! ZDR is available Try it ->

Fab

41,859,353 views • 1 month ago

Truly unbelievable GLM 5.2 just released and it's an open weights model you can run locally The insane part is, it's just as good as Opus 4.8 Unlimited, free super intelligence running on your desk In this video I cover how it works, and how to set up your first local model:

Truly unbelievable GLM 5.2 just released and it's an open weights model you can run locally The insane part is, it's just as good as Opus 4.8 Unlimited, free super intelligence running on your desk In this video I cover how it works, and how to set up your first local model:

Alex Finn

124,988 views • 3 months ago

> replicate J-space on GLM 5.2 > train a reward model and run RL to reduce hallucinations > show me how this model makes cancer predictions Using our platform Silico is like having a team of AI researchers ready to run experiments like these. Private beta is open now. 🧵 (1/6)

> replicate J-space on GLM 5.2 > train a reward model and run RL to reduce hallucinations > show me how this model makes cancer predictions Using our platform Silico is like having a team of AI researchers ready to run experiments like these. Private beta is open now. 🧵 (1/6)

Goodfire

270,002 views • 2 months ago

Opus 5 (before) vs Opus 5 (now) I tested this rocket scene again after people started saying Opus 5 might be getting routed to Opus 5.2. And yeah, the difference is pretty clear. I know these models aren't deterministic, but I ran the same scene multiple times with Opus 5 before, and it never got this level of realism in one shot. If this is actually Opus 5.2, it could be a game-changing model for Anthropic. I’m starting to think Opus 5.2 could mog Astra in frontend and 3D.

Opus 5 (before) vs Opus 5 (now) I tested this rocket scene again after people started saying Opus 5 might be getting routed to Opus 5.2. And yeah, the difference is pretty clear. I know these models aren't deterministic, but I ran the same scene multiple times with Opus 5 before, and it never got this level of realism in one shot. If this is actually Opus 5.2, it could be a game-changing model for Anthropic. I’m starting to think Opus 5.2 could mog Astra in frontend and 3D.

Bhavy☄️

65,527 views • 16 days ago

GLM 5.2 by Z.ai is even bigger than the DeepSeek moment. In the past few months, open source AI had been quite stagnant. New releases were underwhelming and still far behind the top closed models. But GLM 5.2 is different. It gets surprisingly close to GPT and Opus-level quality, while being much cheaper and open-weight. It just gets things done with very minimal hand holding. Full review

GLM 5.2 by Z.ai is even bigger than the DeepSeek moment. In the past few months, open source AI had been quite stagnant. New releases were underwhelming and still far behind the top closed models. But GLM 5.2 is different. It gets surprisingly close to GPT and Opus-level quality, while being much cheaper and open-weight. It just gets things done with very minimal hand holding. Full review

AI Search

36,507 views • 3 months ago

$GLM 5.2 is the best Open Model in the world, and many are saying it's almost as good as Opus 4.8 at a fraction of the cost. Here's exactly how to set it up in Cursor using OpenRouter. Complete instructions below 👇$

GLM 5.2 is the best Open Model in the world, and many are saying it's almost as good as Opus 4.8 at a fraction of the cost. Here's exactly how to set it up in Cursor using OpenRouter. Complete instructions below 👇

Agent Native

21,432 views • 3 months ago

Perplexity CEO on China catching up in AI: “Whatever you did to not let them catch up didn’t even matter. They ended up catching up anyway. What’s more dangerous is they have the best open-source model. And all the American developers are building on that.” That was DeepSeek. Now just dropped GLM-5.2: • MIT open weights • 1M context • 81.0 on Terminal-Bench 2.1 • within a few points of Claude Opus 4.8 The open-source AI race is not theory anymore.

Perplexity CEO on China catching up in AI: “Whatever you did to not let them catch up didn’t even matter. They ended up catching up anyway. What’s more dangerous is they have the best open-source model. And all the American developers are building on that.” That was DeepSeek. Now just dropped GLM-5.2: • MIT open weights • 1M context • 81.0 on Terminal-Bench 2.1 • within a few points of Claude Opus 4.8 The open-source AI race is not theory anymore.

Vadim

650,826 views • 3 months ago

With the launch of GLM 5.2 this week, I see everyone asking "have open models caught up to closed models?" The more interesting question that's getting missed: what can you do with an open model that you can't do with a closed one? You can specialize them. And when you do, the number of economically valuable tasks open models can do actually subsumes that of closed models. Charlie O'Neill explaining this:

With the launch of GLM 5.2 this week, I see everyone asking "have open models caught up to closed models?" The more interesting question that's getting missed: what can you do with an open model that you can't do with a closed one? You can specialize them. And when you do, the number of economically valuable tasks open models can do actually subsumes that of closed models. Charlie O'Neill explaining this:

Madison Kanna

18,149 views • 3 months ago

China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.

China is once again unsettling its American competitors in the AI race. Chinese labs have returned to the spotlight with the unveiling of GLM 5.2, described as the most powerful AI model ever trained in China — and one of the leading open‑source models worldwide. 🔍 Key highlights of “GLM 5.2”: ♦️ It is considered the strongest AI model developed in China to date, and ranks among the smartest open‑source models available. ♦️ It operates at a cost less than one‑tenth that of Anthropic’s latest models, making it a far more economical option. ♦️ It is likely to attract developers and companies seeking powerful, low‑cost models — especially amid growing technical and geopolitical restrictions. ♦️ Some evaluations place the model among the top globally, trailing OpenAI’s models while outperforming several competitors in specialized benchmarks and performance tests.

China pulse 🇨🇳

14,293 views • 3 months ago

I couldn't believe the results of this benchmarking test. I blind-tested 6 frontier models — Sonnet 5, Opus 4.8, Fable 5, GPT 5.5, GLM 5.2, and Kimi 2.5 — on knowledge work, not engineering. Writing. Analysis. Design. Vibe coding. Subagent simulations. The stuff we actually do all day. Same prompts, each model running its own subagent, every output graded blind before the labels were revealed. The results: → GLM 5.2 (the dirt-cheap open-source model from China) took first → Sonnet 5 took second, beating Fable 5 for knowledge work → Opus 4.8 got whooped Then I had Composer 2.5 judge every output independently — and it picked Fable 5 almost across the board. My blind picks and the AI judge completely disagreed. Full breakdown, method, and prompts in the video below. Which model are you running as your daily driver right now?

I couldn't believe the results of this benchmarking test. I blind-tested 6 frontier models — Sonnet 5, Opus 4.8, Fable 5, GPT 5.5, GLM 5.2, and Kimi 2.5 — on knowledge work, not engineering. Writing. Analysis. Design. Vibe coding. Subagent simulations. The stuff we actually do all day. Same prompts, each model running its own subagent, every output graded blind before the labels were revealed. The results: → GLM 5.2 (the dirt-cheap open-source model from China) took first → Sonnet 5 took second, beating Fable 5 for knowledge work → Opus 4.8 got whooped Then I had Composer 2.5 judge every output independently — and it picked Fable 5 almost across the board. My blind picks and the AI judge completely disagreed. Full breakdown, method, and prompts in the video below. Which model are you running as your daily driver right now?

JJ Englert

10,737 views • 3 months ago

you can now use Ox Alpha, Kimi K3, gemini 3.7 flash and 47 other models for FREEE with no credit card 😳 aihubmix just opened a 50-model free catalog, every model $0/M in and out. the models: -Ox Aplha -gemini-3.7-flash -glm-5.2 -kimi-k3 -minimax-m3 how to set it up (2 min): step 1: sign up at email or oauth, no card step 2: create an api key one key, all models, free and paid alike step 3: call any -free model base url: model: coding-glm-5.2-free, gpt-5.5-free, whatever that's it the free catalog is live in 2 minutes works in any openai-compatible tool. save this if you want a simple multi model setup later

you can now use Ox Alpha, Kimi K3, gemini 3.7 flash and 47 other models for FREEE with no credit card 😳 aihubmix just opened a 50-model free catalog, every model $0/M in and out. the models: -Ox Aplha -gemini-3.7-flash -glm-5.2 -kimi-k3 -minimax-m3 how to set it up (2 min): step 1: sign up at email or oauth, no card step 2: create an api key one key, all models, free and paid alike step 3: call any -free model base url: model: coding-glm-5.2-free, gpt-5.5-free, whatever that's it the free catalog is live in 2 minutes works in any openai-compatible tool. save this if you want a simple multi model setup later

painn

81,457 views • 1 month ago

Head of Anthropic Labs: "Fable is one of those models you'll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. Fable is way smarter than me. It finishes a task, lists its trade-offs, and I have to ask it to explain them to me." in 20-minute talk, the Anthropic head reveals the full capabilities of the Fable 5 model in practice. Watch it now, then read how to use this frontier model in the article below

Head of Anthropic Labs: "Fable is one of those models you'll just remember - like Sonnet 3.5, Opus 4, Opus 4.5. Fable is way smarter than me. It finishes a task, lists its trade-offs, and I have to ask it to explain them to me." in 20-minute talk, the Anthropic head reveals the full capabilities of the Fable 5 model in practice. Watch it now, then read how to use this frontier model in the article below

Movez

33,774 views • 3 months ago

I'm blown away by Qwen 3.8 27B. A few months ago when I was testing open-weight models, it seemed clear that only GLM and Kimi class models (+1T parameters) could get close to GPT-5.6 / Opus / Fable levels. And now this tiny 27B model gets almost as close. I gotta say, China got this down to an art. Not just benchmarks. I actually tested this in my companies 👇

I'm blown away by Qwen 3.8 27B. A few months ago when I was testing open-weight models, it seemed clear that only GLM and Kimi class models (+1T parameters) could get close to GPT-5.6 / Opus / Fable levels. And now this tiny 27B model gets almost as close. I gotta say, China got this down to an art. Not just benchmarks. I actually tested this in my companies 👇

Simon Høiberg

16,325 views • 28 days ago

Dragonfly's Haseeb Qureshi ＞|＜ reveals how GLM 5.3 Abliterated could unlock a new era of AI cyber attacks by training away the model's refusal behavior: "The models are just now getting good enough. Especially open source. For the frontier models, you used to be able to jailbreak them enough to be able to do these kinds of malicious activities, but their safety guardrails have improved dramatically over the last year or two." "But now we have open models. There was a model released yesterday which is an abliteration of GLM 5.3. Abliteration is when you take a model and fine-tune it against the refusal direction, which gets the model to refuse less and less, which ultimately gets you something close to an unrestricted or uncensored model." "So they did that to GLM 5.3, which means this abliterated version will just hack things. It will just do whatever GLM 5.3 will refuse to do. You lose some performance, but this is kind of a killing machine. If you wanna just let this loose on cyber attacks, that's what you use, and that was just released open weights yesterday." "You will see a lot more of this. This is not the end. This is only the beginning of where this is going."

Dragonfly's Haseeb Qureshi ＞|＜ reveals how GLM 5.3 Abliterated could unlock a new era of AI cyber attacks by training away the model's refusal behavior: "The models are just now getting good enough. Especially open source. For the frontier models, you used to be able to jailbreak them enough to be able to do these kinds of malicious activities, but their safety guardrails have improved dramatically over the last year or two." "But now we have open models. There was a model released yesterday which is an abliteration of GLM 5.3. Abliteration is when you take a model and fine-tune it against the refusal direction, which gets the model to refuse less and less, which ultimately gets you something close to an unrestricted or uncensored model." "So they did that to GLM 5.3, which means this abliterated version will just hack things. It will just do whatever GLM 5.3 will refuse to do. You lose some performance, but this is kind of a killing machine. If you wanna just let this loose on cyber attacks, that's what you use, and that was just released open weights yesterday." "You will see a lot more of this. This is not the end. This is only the beginning of where this is going."

MTS

17,726 views • 1 month ago

Leo Nightly now runs GLM-5 inside NEAR AI's Trusted Execution Environments, upgrading from DeepSeek V3.1. GLM-5 is currently one of the best open weight models from that leads every other open model on reasoning, coding, and agentic benchmarks. It's running inside Nvidia-backed TEEs via NEAR AI, which means your conversations are processed in a hardware-secured enclave where no one, not Brave, not NEAR, not anyone, can see your prompts or responses. Every computation is cryptographically signed so you can verify the model running is actually the model you selected. This is what we mean by moving from "trust me bro" to "trust but verify." Most AI assistants ask you to take their privacy claims on faith. Leo with NEAR AI TEEs gives you cryptographic proof. Update to the latest Nightly build and select GLM-5 with the "Verifiably Private with NEAR AI TEE" label in Leo to try it.

Leo Nightly now runs GLM-5 inside NEAR AI's Trusted Execution Environments, upgrading from DeepSeek V3.1. GLM-5 is currently one of the best open weight models from that leads every other open model on reasoning, coding, and agentic benchmarks. It's running inside Nvidia-backed TEEs via NEAR AI, which means your conversations are processed in a hardware-secured enclave where no one, not Brave, not NEAR, not anyone, can see your prompts or responses. Every computation is cryptographically signed so you can verify the model running is actually the model you selected. This is what we mean by moving from "trust me bro" to "trust but verify." Most AI assistants ask you to take their privacy claims on faith. Leo with NEAR AI TEEs gives you cryptographic proof. Update to the latest Nightly build and select GLM-5 with the "Verifiably Private with NEAR AI TEE" label in Leo to try it.

Brave Nightly

52,675 views • 7 months ago

We have completed migrating all 11 million users on the Cline extension to our new SDK harness, built for open weights models. Task mistake rates have dropped from 6.34% → 0.62%. This was our biggest update ever, and almost nobody noticed since it was entirely under the hood.

We have completed migrating all 11 million users on the Cline extension to our new SDK harness, built for open weights models. Task mistake rates have dropped from 6.34% → 0.62%. This was our biggest update ever, and almost nobody noticed since it was entirely under the hood.

Cline

17,158 views • 29 days ago

🚨 GLM 5.3 just dropped, and here’s how to access the GLM family completely FREE. no subscription. no API credit cost & no rate limit. step 1️⃣: download the OpenCode app on your PC. it’s available on both Mac and Windows. 🔗: step 2️⃣: go to NVIDIA’s website, sign up with your email, verify your account, and generate a unified API key for free. NVIDIA offers free model endpoints for developers, and GLM 5.2 is one of the top models currently available there. 🔗: step 3️⃣: launch OpenCode, open the model selection menu, search for NVIDIA, and paste the API key you generated. also, there’s no rate limit, but traffic to the model through NVIDIA can get busy at times, so responses may occasionally be slower or temporarily unavailable. the only catch: NVIDIA hasn’t listed GLM 5.3 yet, so for now you’ll be using GLM 5.2. once GLM 5.3 gets added to NVIDIA’s model catalog, you should be able to switch to it the same way.

🚨 GLM 5.3 just dropped, and here’s how to access the GLM family completely FREE. no subscription. no API credit cost & no rate limit. step 1️⃣: download the OpenCode app on your PC. it’s available on both Mac and Windows. 🔗: step 2️⃣: go to NVIDIA’s website, sign up with your email, verify your account, and generate a unified API key for free. NVIDIA offers free model endpoints for developers, and GLM 5.2 is one of the top models currently available there. 🔗: step 3️⃣: launch OpenCode, open the model selection menu, search for NVIDIA, and paste the API key you generated. also, there’s no rate limit, but traffic to the model through NVIDIA can get busy at times, so responses may occasionally be slower or temporarily unavailable. the only catch: NVIDIA hasn’t listed GLM 5.3 yet, so for now you’ll be using GLM 5.2. once GLM 5.3 gets added to NVIDIA’s model catalog, you should be able to switch to it the same way.

m0h

101,243 views • 1 month ago

do you know what you pay for in agentic workloads? cached tokens! session with 50+ tool calls -> prompt is billed 50 times all providers give 1/5 cached discount for GLM-5.2 we at Fireworks dropped it to 1/10, matching GPT/Claude that's -40% typical savings, have fun!

do you know what you pay for in agentic workloads? cached tokens! session with 50+ tool calls -> prompt is billed 50 times all providers give 1/5 cached discount for GLM-5.2 we at Fireworks dropped it to 1/10, matching GPT/Claude that's -40% typical savings, have fun!

Dmytro Dzhulgakov

13,618 views • 3 months ago