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I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating... show more

Hassan

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20,090 次观看 • 5 天前 •via X (Twitter)

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I was skeptical about giving GLM-5.2 the task to build a super mario snes style game in a single HTML file so i ran the test on Opus and also on GLM-5.2 Opus didnt even try to make a game or made something but it wasn't a game GLM-5.2 one shotted a pretty functional game.. WILD

I was skeptical about giving GLM-5.2 the task to build a super mario snes style game in a single HTML file so i ran the test on Opus and also on GLM-5.2 Opus didnt even try to make a game or made something but it wasn't a game GLM-5.2 one shotted a pretty functional game.. WILD

Hermes Agent Tips

32,805 次观看 • 11 天前

I just tested GLM 5.2, Claude opus 4.8, and GPT 5.5 to see which one could rebuild my personal site in that whimsical ascii style GLM 5.2 held its own and went toe to toe with the other 2 top tier models lowkey impressed, look at the hero section it built here

I just tested GLM 5.2, Claude opus 4.8, and GPT 5.5 to see which one could rebuild my personal site in that whimsical ascii style GLM 5.2 held its own and went toe to toe with the other 2 top tier models lowkey impressed, look at the hero section it built here

Ann Nguyen

33,577 次观看 • 12 天前

we asked GLM 5.2 and Claude Opus 4.8 to find and fix the bugs in two different scripts while Opus 4.8 finished a few seconds faster in both tests, GLM 5.2 burned roughly 17k–38k fewer tokens and absolutely crushed it on cost, coming in 15x to 22x cheaper! Test 1: GLM 5.2 ($0.068) vs. Opus 4.8 ($1.06) Test 2: GLM 5.2 ($0.045) vs. Opus 4.8 ($1.02)

we asked GLM 5.2 and Claude Opus 4.8 to find and fix the bugs in two different scripts while Opus 4.8 finished a few seconds faster in both tests, GLM 5.2 burned roughly 17k–38k fewer tokens and absolutely crushed it on cost, coming in 15x to 22x cheaper! Test 1: GLM 5.2 ($0.068) vs. Opus 4.8 ($1.06) Test 2: GLM 5.2 ($0.045) vs. Opus 4.8 ($1.02)

GMI Cloud

85,530 次观看 • 4 天前

Neel built Builddy to go from a text prompt to a deployed web app in one go using GLM-5.1. The system coordinates 6 different agents to handle everything from system design to final deployment, all running on GLM-5.1's coding logic.

Neel built Builddy to go from a text prompt to a deployed web app in one go using GLM-5.1. The system coordinates 6 different agents to handle everything from system design to final deployment, all running on GLM-5.1's coding logic.

Z.ai

38,964 次观看 • 2 个月前

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

47,820 次观看 • 11 天前

1-bit GLM-5.2 GGUF vs. Claude 4.8 Opus vs. GPT-5.5 We gave 3 models the same prompt and compared one-shot outputs. The 1-bit GLM-5.2 GGUF ran locally on a Mac Studio M3 Ultra with 256GB RAM at ~21.6 tok/s. Which output do you like best? GGUF:

1-bit GLM-5.2 GGUF vs. Claude 4.8 Opus vs. GPT-5.5 We gave 3 models the same prompt and compared one-shot outputs. The 1-bit GLM-5.2 GGUF ran locally on a Mac Studio M3 Ultra with 256GB RAM at ~21.6 tok/s. Which output do you like best? GGUF:

Unsloth AI

1,522,301 次观看 • 7 天前

i keep hearing about how GLM-5.2 not only is great at coding but also that is on Opus 4.8 level when it comes to front end design I wanted to find out so... i put it to the test.. you can be the judge

i keep hearing about how GLM-5.2 not only is great at coding but also that is on Opus 4.8 level when it comes to front end design I wanted to find out so... i put it to the test.. you can be the judge

Hermes Agent Tips

69,702 次观看 • 12 天前

One shot a general purpose agent iOS app with GPT 5.5… the general agent is powered by GLM 5.2 and it has fulll vibe coding capabilities. Pretty cool.

One shot a general purpose agent iOS app with GPT 5.5… the general agent is powered by GLM 5.2 and it has fulll vibe coding capabilities. Pretty cool.

Riley Brown

68,305 次观看 • 10 天前

GLM 5.2 vs Kimi K2.7 both were tested on same settings with same prompt > GLM one shotted everything in 35 mins > Kimi needed extra prompts to fix movements and took 30 mins super surpised by how good GLM 5.2 is, while being so cheap which one do you think won?

GLM 5.2 vs Kimi K2.7 both were tested on same settings with same prompt > GLM one shotted everything in 35 mins > Kimi needed extra prompts to fix movements and took 30 mins super surpised by how good GLM 5.2 is, while being so cheap which one do you think won?

J A Z I I

63,064 次观看 • 17 天前

GLM-5.2 is a bigger deal than you think. > what GLM-5.2 actually scores (0:46) > "it's just a rich person's toy" (4:27) > why GLM-5.2 matters even if you never run it (7:19)

GLM-5.2 is a bigger deal than you think. > what GLM-5.2 actually scores (0:46) > "it's just a rich person's toy" (4:27) > why GLM-5.2 matters even if you never run it (7:19)

Rob Hallam

19,906 次观看 • 8 天前

Cursor now has a built-in web browser. You can say "start my app" and it will run the dev server in a terminal and then navigate the browser to localhost:3000. It can take screenshots of the page for iterating on design, and you can send DOM elements to the agent with prompts!

Cursor now has a built-in web browser. You can say "start my app" and it will run the dev server in a terminal and then navigate the browser to localhost:3000. It can take screenshots of the page for iterating on design, and you can send DOM elements to the agent with prompts!

Lee Robinson

216,110 次观看 • 8 个月前

I gave GLM-5.2 one goal: Turn a 2D dungeon crawler it built into a 2.5D isometric Diablo-style game with the visual fidelity of Diablo I. Then I let Z Code cook for 10+ hours. After a week of testing, I'd say its long-horizon execution is close to GPT-5.5 medium. The biggest difference is its agent behavior: GLM-5.2 is much more conservative, so it tends to take a longer path to the objective. Once you understand its quirks, it's remarkably capable. GPT-5.5 /goal also has its own quirks.

I gave GLM-5.2 one goal: Turn a 2D dungeon crawler it built into a 2.5D isometric Diablo-style game with the visual fidelity of Diablo I. Then I let Z Code cook for 10+ hours. After a week of testing, I'd say its long-horizon execution is close to GPT-5.5 medium. The biggest difference is its agent behavior: GLM-5.2 is much more conservative, so it tends to take a longer path to the objective. Once you understand its quirks, it's remarkably capable. GPT-5.5 /goal also has its own quirks.

cedric

34,848 次观看 • 5 天前

Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:

Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:

Venice

26,885 次观看 • 13 天前

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

121,245 次观看 • 10 天前

Timelapse #156 (36 hrs) - Worked with the tiny corp on getting GLM 5.2 running on 8xMI300X (sglang won here) - Launched KernelBench-Mega and updated Kernelbench-Hard with h100 and b200 sweeps - Took care of boring business stuff - Did some training sweeps for specialized technical vocab audio model - Some bugs with putting kernelbench-mega and hard on cloud instances so had to do some reruns. Learned a lot though - Setting up my own local rl infra and profiling concurrency 128 rollouts with vllm. Became clear to me that I need to serve in nvfp4, use MoE only for throughput, reap so training doesn’t OOM, dig into the vllm kernel graph itself to not underutilize my hardware from poor flashinfer/cutlass selections for my rtx pro 6000 sm120 architecture - Might do online distillation from glm 5.2 but for now taking it one step at a time - Slept for a bit then woke up and showered - Fixed an issue with SGLang tensor parallel deadlock on GLM 5.2 architecture with MTP enabled - GLM 5.2 inference is 2-3x faster than coding plans and running on amd boxes - Spent time with family - Hung out with some friends - Recorded some yoctogpt lectures with the revamped notebook (high taste btw) - Setting up dflash training for GLM 5.2

Timelapse #156 (36 hrs) - Worked with the tiny corp on getting GLM 5.2 running on 8xMI300X (sglang won here) - Launched KernelBench-Mega and updated Kernelbench-Hard with h100 and b200 sweeps - Took care of boring business stuff - Did some training sweeps for specialized technical vocab audio model - Some bugs with putting kernelbench-mega and hard on cloud instances so had to do some reruns. Learned a lot though - Setting up my own local rl infra and profiling concurrency 128 rollouts with vllm. Became clear to me that I need to serve in nvfp4, use MoE only for throughput, reap so training doesn’t OOM, dig into the vllm kernel graph itself to not underutilize my hardware from poor flashinfer/cutlass selections for my rtx pro 6000 sm120 architecture - Might do online distillation from glm 5.2 but for now taking it one step at a time - Slept for a bit then woke up and showered - Fixed an issue with SGLang tensor parallel deadlock on GLM 5.2 architecture with MTP enabled - GLM 5.2 inference is 2-3x faster than coding plans and running on amd boxes - Spent time with family - Hung out with some friends - Recorded some yoctogpt lectures with the revamped notebook (high taste btw) - Setting up dflash training for GLM 5.2

Elliot Arledge

45,129 次观看 • 9 天前

I was a bit suspicious of the claim, but GLM-5.2 is pretty good at designing stuff. Obviously not at the level of a professional designer, but it has that Opus-level quality. Great at: - games - landing pages - HTML artifacts - 3D worlds Wish I had Fable 5 to compare with.

I was a bit suspicious of the claim, but GLM-5.2 is pretty good at designing stuff. Obviously not at the level of a professional designer, but it has that Opus-level quality. Great at: - games - landing pages - HTML artifacts - 3D worlds Wish I had Fable 5 to compare with.

elvis

16,819 次观看 • 13 天前

I re-ran my Fable 5 3D dashboard demo with GLM-5.2. Same prompt. Same reference image. The result is actually pretty solid: 3D globe, route arcs, glass panels, stats cards, and a usable demo page. It is not at Fable 5 level yet, especially in visual precision and one-shot polish. But GLM-5.2 is accessible to all GLM Coding Plan users now. If you’re curious, it’s worth trying. Demo webpage + prompt below 👇

I re-ran my Fable 5 3D dashboard demo with GLM-5.2. Same prompt. Same reference image. The result is actually pretty solid: 3D globe, route arcs, glass panels, stats cards, and a usable demo page. It is not at Fable 5 level yet, especially in visual precision and one-shot polish. But GLM-5.2 is accessible to all GLM Coding Plan users now. If you’re curious, it’s worth trying. Demo webpage + prompt below 👇

AI Builder Club

49,848 次观看 • 17 天前

🚨 AI Agents Can Now Embed Any App And Create Complex Visualizations Weekend launches are the best!! - AI agents can embed and use any app - do detailed system and engineering design - create 3D models for data-centers and scientific research We cleverly mix and match LLMs. Opus 4.8 combined with GLM 5.2 and GPT 5..5 Here is a video of the Abacus AI agent designing a 3D data center

🚨 AI Agents Can Now Embed Any App And Create Complex Visualizations Weekend launches are the best!! - AI agents can embed and use any app - do detailed system and engineering design - create 3D models for data-centers and scientific research We cleverly mix and match LLMs. Opus 4.8 combined with GLM 5.2 and GPT 5..5 Here is a video of the Abacus AI agent designing a 3D data center

Bindu Reddy

4,695,998 次观看 • 9 天前

Web Design Royal Rumble! Claude Code with: - GLM 4.7 (left) - Opus 4.5 (center) - MiniMax M2.1 (right) 🥇 M2.1 fastest 🥈 Opus 4.5 🥉 GLM 4.7 All great, which one is the best? 🤷🏻‍♂️

Web Design Royal Rumble! Claude Code with: - GLM 4.7 (left) - Opus 4.5 (center) - MiniMax M2.1 (right) 🥇 M2.1 fastest 🥈 Opus 4.5 🥉 GLM 4.7 All great, which one is the best? 🤷🏻‍♂️

Ivan Fioravanti ᯅ

91,414 次观看 • 6 个月前

Wow... This Claude Code Design Hack is wild. When building landing pages, don't ask for a single landing page. Ask for a directory of landing page options... and in your 1st prompt tell it to learn from your preferences as you generate more. Use this prompt below 👇

Wow... This Claude Code Design Hack is wild. When building landing pages, don't ask for a single landing page. Ask for a directory of landing page options... and in your 1st prompt tell it to learn from your preferences as you generate more. Use this prompt below 👇

Chorus Marketing Agent

185,778 次观看 • 5 个月前