GLM-5.2 pushes the frontier in coding, reasoning, and agentic workflows while maintaining the same API pricing. • Open weights • 1M context • Strong agent capabilities • Production-ready economics This is exactly the foundation needed for the coming Human + Agent Economy. #AGI #AgentEconomy #AIInfrastructure

Jun 16, 2026 · 8:22 PM UTC

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Replying to @CarolGLMs
🧠 Z.ai Releases GLM-5.2 @Zai_org introduced GLM-5.2, a new open-weight frontier model with an MIT license. The model brings stronger coding and agentic task performance, a 1M context window, and two reasoning levels: max for higher performance and high for better token efficiency. API pricing remains the same as GLM-5.1.
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The frontier is getting more powerful, and more gated. GLM-5.2 refuses the tradeoff. We push the frontier. We keep it open.
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Replying to @CarolGLMs
glm 5.2 is now top-1 chinese model congrats
glm 5.2 max vs kimi k2.7 code vs minimax m3 vs mimo v2.5 pro: making the moon go around the earth the top-3 open weight labs – @Kimi_Moonshot , @MiniMax_AI and @Zai_org – all dropped a new model in june so we put them head to head on arena ai with one simple task: generate an animation of the earth and moon in space we also threw in @XiaomiMiMo v2.5 pro as a cheaper option to see if it'd fall behind biggest surprise: glm takes ~20x longer to produce the same volume of code it's not a bug. the model just reviews everything thoroughly before committing time spent: • minimax m3 – 47 sec • kimi k2.7 code – 51 sec • mimo v2.5 pro – 1 min 27 sec • glm 5.2 max – 21 min 1 sec (!) lines of code written: • kimi k2.7 code – 297 • minimax m3 – 384 • glm 5.2 max – 462 • mimo v2.5 pro – 503 but line count tracks ambition, not quality. so we actually read all four glm: the most serious one. only model that built genuinely seamless procedural textures (no visible seam on the sphere), put clouds on a separate rotating layer, wrote a real fresnel atmosphere shader and got the full color pipeline right. that 21 min bought something mimo: richest visuals. hand-drawn recognizable continents, separate bump + spec maps, multi-layer sun glow, proper per-star twinkle. loses to glm only on a texture seam and some fake fixed-direction lighting. great value for a "cheaper" model minimax: cleanest, most readable code and runs great. but every star twinkles in unison (it even computes per-star data and never uses it), and the atmosphere is a flat sprite. solid, just cuts the two corners that matter most for the wow kimi: most compact. nice ideas – real per-star shader, even attempts shadow mapping. but the earth is the least detailed and it pulls in the entire tailwind cdn to basically do nothing next up we're hoping to throw a new @deepseek_ai into the ring – fingers crossed it drops soon follow @thehypedotnews for 24/7 ai news, analysis and breakdowns
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thank you
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Replying to @CarolGLMs
strong agent capabilities are just a starting point. what's still missing is someone to tell these agents where to apply their capabilities, and how to prioritize when there aren't clear objectives
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Replying to @CarolGLMs
100万上下文这点挺能打,跑代理会舒服不少
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Replying to @CarolGLMs
You have put the closed models in a state of terror 🥰🚀 They are in a state of panic.
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Replying to @CarolGLMs
Awesome job 💯👏🏽🙌🏾
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Replying to @CarolGLMs
Super exciting direction. Open weights + 1M context + strong agents at production economics is exactly what we need
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Replying to @CarolGLMs
Congrats 🎉🍾
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Replying to @CarolGLMs
You guys are awesome👌🔥
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Replying to @CarolGLMs
How’s everyone dealing without multimodal in 5.2?
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Replying to @CarolGLMs
Congrats 🎉
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Replying to @CarolGLMs
Congratulations! Z.ai Team !
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Replying to @CarolGLMs
Impressive to see GLM-5.2 hit frontier coding reasoning and agentic performance with 1M context open weights and unchanged API pricing. Solid production economics for the Human + Agent Economy.
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Replying to @CarolGLMs
just hat to change my bio from "programmer" to "GLM 5.2 Orchestrator" 🤓
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Replying to @CarolGLMs
GLM-5.2 looks promising! The improvements in reasoning capabilities are impressive. Can't wait to see the benchmarks compared to the previous version.
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Replying to @CarolGLMs
1M context will unlock new possibilities for coding
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Replying to @CarolGLMs
Congrats Carol and the @Zai_org team!
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Replying to @CarolGLMs
Architecture-level efficiency is becoming as important as raw model capability in agentic systems.
Replying to @CarolGLMs
Your model is really great and largely replaces GPT-5.5 in Openclaw BUT the competition limit has 5 on GLM-5.2 and really very embarrassing for agent use, I hope my request to your services for the increase will be accepted 🙏
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Replying to @CarolGLMs
Agentic workflows are advancing rapidly. Combining capability with verifiable authorization and accountability can help accelerate real-world adoption. @concordium is building toward that vision.
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Replying to @CarolGLMs
yes mam got it. going to buy sub.
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Replying to @CarolGLMs
Competition is exactly what this industry needs. Everyone wins when the gap between models keeps shrinking. x.com/Kevin24812852/status/2…
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Replying to @CarolGLMs
everyone talks about agents but keeping the api cheap is what actually matters
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Replying to @CarolGLMs
They are really doing a great job!
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Replying to @CarolGLMs
The 1M context plus open weights combo is the part I would watch. For agentic coding, long context is only useful if retrieval, tool use, and latency stay predictable enough to build around.
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Replying to @CarolGLMs
China nb
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Replying to @CarolGLMs
I really hope GLM-5.2 finally learns how to write coherent, working code. I've been eyeing GLM's high benchmarks for a long time, but in real-world use, its stupidity constantly drives me crazy.
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Replying to @CarolGLMs
fix your oversold infrastructure. We can't access glm-5.2 during peak hours with max plan at all
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Replying to @CarolGLMs
NB
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