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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:

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Venice

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25,455 просмотров • 6 дней назад •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
0:45

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

32,158 просмотров • 3 дней назад

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 internal benchmark of 35 challenging mobile development tasks, each run twice for a total of 70 trials. We measured task completion, defined as core features working without major issues.
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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 internal benchmark of 35 challenging mobile development tasks, each run twice for a total of 70 trials. We measured task completion, defined as core features working without major issues.

Zixuan Li

260,938 просмотров • 4 дней назад

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 👇
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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 просмотров • 9 дней назад

I tested GLM 5.2 on three real builds. A horror house game. A 3D stealth game. A Remotion marketing video. The results are exactly what I expect from Chinese open source coding models right now. The horror house has broken game logic. Collect all three keys, complete the objective, and the front door still won't open. The stealth game shipped with lighting so dark you can't see your own character. The Remotion video is rough. GLM 5.2 is faster than 5.1 and 10x cheaper than the frontier. But Opus 4.8 and GPT 5.5 are still in a different league for serious coding work. Chinese models keep missing the attention to detail that matters. I MISS FABLE 5 ALREADY. Full review live now.
17:43

I tested GLM 5.2 on three real builds. A horror house game. A 3D stealth game. A Remotion marketing video. The results are exactly what I expect from Chinese open source coding models right now. The horror house has broken game logic. Collect all three keys, complete the objective, and the front door still won't open. The stealth game shipped with lighting so dark you can't see your own character. The Remotion video is rough. GLM 5.2 is faster than 5.1 and 10x cheaper than the frontier. But Opus 4.8 and GPT 5.5 are still in a different league for serious coding work. Chinese models keep missing the attention to detail that matters. I MISS FABLE 5 ALREADY. Full review live now.

BridgeMind

24,375 просмотров • 9 дней назад

Introducing GLM 5.2 for autoresearch GLM 5.2 is the first open weights model we've tried on our autoresearch pipeline that's proven capable for real research tasks. With Fable 5's restrictions on research, having an open weights alternative is a huge win for open source Watch it carry out fully async vs colocated sync RL training on Harbor code contests across two 8xH100 nodes on top of SkyRL. Resolves setup issues, tracks runs to completion, and produces a full comparison of throughput and reward stability
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Introducing GLM 5.2 for autoresearch GLM 5.2 is the first open weights model we've tried on our autoresearch pipeline that's proven capable for real research tasks. With Fable 5's restrictions on research, having an open weights alternative is a huge win for open source Watch it carry out fully async vs colocated sync RL training on Harbor code contests across two 8xH100 nodes on top of SkyRL. Resolves setup issues, tracks runs to completion, and produces a full comparison of throughput and reward stability

alphaXiv

120,974 просмотров • 16 часов назад

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?
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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 просмотров • 9 дней назад

MiniMax M3 vs GLM-5.2 vs Kimi K2.7 in Lunar Lander contest! 🔥 Last test of the day before going back to learning & build phase with Local Models, Swift and Apple Core AI 💪 I took the opportunity to test the MiniMax Code app for macOS. Video below speeded up. Followed by Lunar Lander implementation from the various models. My ranking: 🥇 GLM 5.2 🥈 MiniMax M3 🥉 Kimi K2.7 Coding Prompt and final results in this gist:
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MiniMax M3 vs GLM-5.2 vs Kimi K2.7 in Lunar Lander contest! 🔥 Last test of the day before going back to learning & build phase with Local Models, Swift and Apple Core AI 💪 I took the opportunity to test the MiniMax Code app for macOS. Video below speeded up. Followed by Lunar Lander implementation from the various models. My ranking: 🥇 GLM 5.2 🥈 MiniMax M3 🥉 Kimi K2.7 Coding Prompt and final results in this gist:

Ivan Fioravanti ᯅ

21,604 просмотров • 8 дней назад

🎉 Day-0 support for in vLLM, available today in v0.23.0! Congrats to Z.ai 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 implementation, automated research, and performance optimization ✨ One task can carry a full dev workflow, from requirements to a deployable product across platforms ✨ Client-side and mobile engineering, including an on-device debugging loop Try it out running it on vLLM today: 🔗
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🎉 Day-0 support for in vLLM, available today in v0.23.0! Congrats to Z.ai 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 implementation, automated research, and performance optimization ✨ One task can carry a full dev workflow, from requirements to a deployable product across platforms ✨ Client-side and mobile engineering, including an on-device debugging loop Try it out running it on vLLM today: 🔗

vLLM

34,675 просмотров • 6 дней назад

I used GLM-5.2 to optimize this visualization I previously made, and it doesn't feel like an open-source model at all. It's amazing.
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I used GLM-5.2 to optimize this visualization I previously made, and it doesn't feel like an open-source model at all. It's amazing.

Joshua Guo

100,115 просмотров • 3 дней назад

GLM 5.2 just beat Fable 5 at website design. 🌐 The crazy part: GLM is text-only. It can build the site, but it can’t inspect the result. So we paired it with Browser Use v2 multimodal QA subagents. > Reviews the site and finds bugs > Judges the aesthetics > Sends GLM targeted fixes to iterate on Build + full QA cost less than $0.75. Try it now ↓
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GLM 5.2 just beat Fable 5 at website design. 🌐 The crazy part: GLM is text-only. It can build the site, but it can’t inspect the result. So we paired it with Browser Use v2 multimodal QA subagents. > Reviews the site and finds bugs > Judges the aesthetics > Sends GLM targeted fixes to iterate on Build + full QA cost less than $0.75. Try it now ↓

Browser Use

245,619 просмотров • 2 дней назад

GPT-5.2-high by OpenAI is off to a strong start in the Code Arena. ⚡️ If you’re new here: Code Arena is where AI models build full web apps, tools, and interactive sites — all from a single prompt. Watch the video to see GPT-5.2-high in action, then try your own prompt and reply with your creation below. ⬇️
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GPT-5.2-high by OpenAI is off to a strong start in the Code Arena. ⚡️ If you’re new here: Code Arena is where AI models build full web apps, tools, and interactive sites — all from a single prompt. Watch the video to see GPT-5.2-high in action, then try your own prompt and reply with your creation below. ⬇️

Arena.ai

246,337 просмотров • 6 месяцев назад

How does the #1 open Text Arena model hold up in agentic coding tasks? We tested GLM-5 in Code Arena with head-to-head SVG prompts vs. top frontier AI models. What do you think? Scores for Z.ai 's GLM-5 in Code Arena coming soon. Test out GLM-5 for yourself and get voting.
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How does the #1 open Text Arena model hold up in agentic coding tasks? We tested GLM-5 in Code Arena with head-to-head SVG prompts vs. top frontier AI models. What do you think? Scores for Z.ai 's GLM-5 in Code Arena coming soon. Test out GLM-5 for yourself and get voting.

Arena.ai

115,220 просмотров • 4 месяцев назад

New Z.ai GLM-5.2 beats Kimi K2.7 Code on physics contest! We gave both models the same three prompts and asked them to build self contained HTML5 sims with real physics and no libraries: 1. Pool break 2. Block on a bed of springs 3. Galton board Outputs: GLM-5.2: 12,640 tokens Kimi K2.7 Code: 7,420 tokens GLM 5.2 nailed all three, and it did it with way more detail and polish. The break conserved momentum, the block bounced off the springs and the Galton beads spread into a clean bell curve. Kimi struggled on every scene: its block fell straight through the springs, its break didn't look realistic with the balls colliding all wrong, and on the Galton board its balls overlapped and piled into each other instead of spreading out
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New Z.ai GLM-5.2 beats Kimi K2.7 Code on physics contest! We gave both models the same three prompts and asked them to build self contained HTML5 sims with real physics and no libraries: 1. Pool break 2. Block on a bed of springs 3. Galton board Outputs: GLM-5.2: 12,640 tokens Kimi K2.7 Code: 7,420 tokens GLM 5.2 nailed all three, and it did it with way more detail and polish. The break conserved momentum, the block bounced off the springs and the Galton beads spread into a clean bell curve. Kimi struggled on every scene: its block fell straight through the springs, its break didn't look realistic with the balls colliding all wrong, and on the Galton board its balls overlapped and piled into each other instead of spreading out

atomic.chat

58,910 просмотров • 6 дней назад

GLM-5.2确实有点东西
0:21

GLM-5.2确实有点东西

关木

58,030 просмотров • 9 дней назад

Porównałem nowy GLM 5.2 z Opusem 4.8 na zadaniu stworzenia prostej aplikacji do wizualizacji wnętrz. Ten sam prompt. Jestem pod wrażeniem GLM. Zobaczcie efekt na poniższym klipie (od 0:29 jest porównanie gotowych aplikacji w jednym i drugim). Aplikacja stworzona przez GLM na podobnym poziomie (a może nawet trochę fajniejsza). Oczywiście nadal Opus wygrywa w ekosystemie, multimodalności, tysiącami gotowych skilli, ale GLM nie jest z innej galaktyki. To bardzo dobra wiadomość dla wszystkich builderów - open source nie jest jakoś absurdalnie daleko za frontier modelami 💪🚀
0:46

Porównałem nowy GLM 5.2 z Opusem 4.8 na zadaniu stworzenia prostej aplikacji do wizualizacji wnętrz. Ten sam prompt. Jestem pod wrażeniem GLM. Zobaczcie efekt na poniższym klipie (od 0:29 jest porównanie gotowych aplikacji w jednym i drugim). Aplikacja stworzona przez GLM na podobnym poziomie (a może nawet trochę fajniejsza). Oczywiście nadal Opus wygrywa w ekosystemie, multimodalności, tysiącami gotowych skilli, ale GLM nie jest z innej galaktyki. To bardzo dobra wiadomość dla wszystkich builderów - open source nie jest jakoś absurdalnie daleko za frontier modelami 💪🚀

Michal Sadowski

15,019 просмотров • 5 дней назад

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?
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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

43,329 просмотров • 3 дней назад

Gemma 4 meets retro gaming! 🕹️✨ Introducing AIventure: an open-source dungeon crawler designed as a developer masterclass. Learn to build agentic workflows and integrate vibe-coding, like prompting an NPC to build a web app on the fly.
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Gemma 4 meets retro gaming! 🕹️✨ Introducing AIventure: an open-source dungeon crawler designed as a developer masterclass. Learn to build agentic workflows and integrate vibe-coding, like prompting an NPC to build a web app on the fly.

Google Gemma

45,595 просмотров • 27 дней назад

We built Openwork! This time with OpenCode + Composio This agent can now: - use opencode zen models like Big Pickle, GLM 4.7, MiniMax - access local files and your terminal via opencode - chain actions across local files and cloud apps in one flow completely free and open source:
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We built Openwork! This time with OpenCode + Composio This agent can now: - use opencode zen models like Big Pickle, GLM 4.7, MiniMax - access local files and your terminal via opencode - chain actions across local files and cloud apps in one flow completely free and open source:

Karan Vaidya

62,689 просмотров • 5 месяцев назад

You don't need to be a developer to install AI agents and other open-source software. OpenCode + Venice gives you a private system administrator that runs on natural language—no coding, no data stored Use it to safely experiment with autonomous agents inside Docker containers:
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You don't need to be a developer to install AI agents and other open-source software. OpenCode + Venice gives you a private system administrator that runs on natural language—no coding, no data stored Use it to safely experiment with autonomous agents inside Docker containers:

Venice

12,402 просмотров • 3 месяцев назад

🚨 FUSION AGENTS - Build Complete SaaS Apps With Open-Source AI Fusion agents combine Kimi 2.7 and GLM with Opus 4.8 and GPT 5.5 - multi-agent architectures with open-source sub-agents - build complete SaaS apps - one click connectors to 100+ products - create companion iOS and android apps with one prompt - accept stripe payments
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🚨 FUSION AGENTS - Build Complete SaaS Apps With Open-Source AI Fusion agents combine Kimi 2.7 and GLM with Opus 4.8 and GPT 5.5 - multi-agent architectures with open-source sub-agents - build complete SaaS apps - one click connectors to 100+ products - create companion iOS and android apps with one prompt - accept stripe payments

Bindu Reddy

4,480,820 просмотров • 7 дней назад