
Regional Country Manager, https://teapawt.net/t.co/42qy08zt5q @ZaiforStartups @Zai_org Startup Program: https://teapawt.net/t.co/MumRx40DZO
Joined May 2020
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Introducing GLM-Legal
Built on GLM-5.3-Flash, GLM-Legal matches frontier models on mainstream legal benchmarks.
Designed for real legal workflows: contract review, evidence analysis, compliance, and more.
Tech Blog: z.ai/blog/glm-legal
Apply for API Access: z.ai/consultation/legal
Try AutoClaw: autoclaw.z.ai
markey.tan retweeted
We are excited to bring GLM-5.3 to AWS customers everywhere.
Get started: aws.amazon.com/cn/blogs/mach…
markey.tan retweeted
Today, we arrive on Amazon Bedrock: GLM-5.3 is now available.
For enterprises, this means a faster path from experiment to production: code generation and review, long-horizon agentic workflows, with the access controls, encryption, and governance you already trust on AWS.
💥 挤爆了! Z.ai智谱创始人、清华教授唐杰的课座无虚席!112人教室站满了人!AGI、ASI将是AI模型接下来的主要目标!
他的判断很硬:Chat这一仗基本打完了,2026年该干的是把智能往上推——让模型自己记忆、自己进化、自己完成长程任务。
课名还叫机器学习,16周已经改成一条线:
基座、Scaling、合成数据、偏好与RL,再到Agent工种、持续学习、AI训AI。人类每退出一个闭环,信号就更便宜一次。
教室过道站着听的人,比选课名单更说明问题:下一跳不在参数,在模型能不能自己干活、自己变强。
#唐杰 #智谱 #Zai #清华 #AGI #Agent #大模型 #GLM
🔥最新!智谱Zai电话会上调年底ARR指引:24亿→30亿美元!全力冲刺下一代GLM5.5!
管理层一句话定调:国内大模型不适合被恶意做空。GLM系列正在把“调用量爆炸”变成真金白银。
要点拆解如下:
🔹ARR指引上调25%:2026年末ARR由24亿美元上调至30亿美元。截至9月上半月,全业务口径ARR已达18亿美元。
🔹三大增长引擎:
1️⃣Coding用户一个月翻倍至约200万;Coding Plan解限后销量再翻15倍
2️⃣已与国内外头部云厂商签收入分成协议,GLM开源模型以托管API上云,收入10月起确认
3️⃣Cowork场景加速落地,仅网络安全方向订单已破10亿元人民币
🔹GLM才是底盘:2月GLM-5发布后调用量近10倍,算力一度告急、Coding Plan限量抢购。7月融资后放开供给,9月落地约50亿美元融资,大头用于扩算力,短期供给才稳住。
🔹管理层对“开源被蒸馏”很淡定:深度推理时代,简单蒸馏不够用了。真正拼的是专业环境+数据工程,国内生态正在追上。
🔹董秘肖磊:国内大模型公司的爆发力,根本不是适合被恶意做空的标的。
一句话:GLM把能力做成了产品,产品做成了ARR。算力补上之后,增长斜率还在抬。
#智谱 #GLM #大模型 #ARR #人工智能 #Zai #唐杰 #Zcode
Introducing GLM-5.3: Built to Code. Ready for Cyber Defense.
- Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model
- A major leap in cybersecurity, setting a new standard among open models
Tech Blog: z.ai/blog/glm-5.3
1M users already
ZCode now has 1 million users. As a thank-you to our community, we’ve reset usage limits for all GLM Coding Plan users.
We’re also rolling out an update that helps turn long-horizon capabilities into completed work:
- More intelligence in real engineering workflows
- 98% cache hit rate, providing around 1.8x more usage
Download: zcode.z.ai/en
Join the community: discord.gg/EpH5XkTyhu
markey.tan retweeted
Human + Agent Notes #002
Everyone is talking about AI agents.
A more important question may be:
What makes a valuable human-agent loop?
The strongest organizations in the AGI era may not be those with the most intelligence.
They may be those with the fastest learning loops between humans and agents.
I’m still practicing.
#HumanAndAgent
markey.tan retweeted
AWS customers can now place orders for GLM-5.2 directly. Reach out to the contacts below for more enterprise-grade services:
[email protected]
[email protected]
#aws #glm
markey.tan retweeted
GLM 5.2 x AWS
GLM-5.2 is accessible via Z.ai GLM API on AWS Marketplace 🚀
Powerful long-horizon autonomous workflows, top-tier coding & multi-step agent reasoning capability, delivered through a single unified API endpoint.
Integrate seamlessly within your AWS cloud without self-host GPU maintenance.
aws.amazon.com/marketplace/p…
#GLM52 #ZhipuAI #AWSMarketplace #EnterpriseLLM
markey.tan retweeted
Human + Agent Notes #001
Everyone is asking:
How powerful will AGI become?
A more important question may be:
How should humans organize themselves when intelligence becomes abundant?
The next frontier may not be intelligence itself.
It may be human organization.
#HumanAndAgent
(Claude、GPT、GLM)
GLM-5.2 Tops Artificial Analysis as the #1 Open-Source Model, Ranking Top 3 Globally
GLM-5.2 launched and went open-source today, delivering a solid scorecard across multiple authoritative third-party benchmarks and arenas.
📊 Artificial Analysis Intelligence Index
A comprehensive evaluation that integrates several authoritative leaderboards spanning coding, reasoning, long context, and more. GLM-5.2 scored 51, ranking among the top of all available models—on par with Claude Opus 4.8—and claiming the #1 spot among open-source models worldwide.
🎨 Code Arena
A real-world head-to-head arena focused on front-end code generation, with Elo rankings produced by blind user voting. GLM-5.2 ranked #2 globally with a score of 1,595.
🏆 DesignArena
A category arena centered on scenarios that combine design and code. GLM-5.2 took the top spot with a score of 1,360.
⚙️ FrontierSWE
A software-engineering benchmark built around the "frontier of human capability," assessing engineering ability across three dimensions: implementation, performance, and research. GLM-5.2 ranked #3 overall.
💪 From front-end development and design-to-code to engineering-grade software tasks, GLM-5.2 consistently lands in the top tier across multiple real-world evaluation scenarios, steadily closing in on the world's strongest models. We'll keep pushing forward in pursuit of an ever-higher ceiling of intelligence.
markey.tan retweeted
GLM-5.2 is an extremely strong open weights model. Kudos to the @Zai_org team.
markey.tan retweeted
GLM 5.2 is here, and we’re proud to partner with Z AI to make GLM 5.2 accessible to the entire world.
Built and designed for long, difficult real world tasks, GLM 5.2 stands toe to toe with many frontier closed sourced models.
Give it a shot today at Featherless!
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 nearly all sub categories: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Gaming, and Simulations.
Congrats @Zai_org for the incredible milestone!
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 users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology.
Compared to 5.1, GLM-5.2 (Max) climbs from #13 to #10. Its clearest gains are confirmed task success, and user praise vs. complaint. Bash capabilities and tool hallucination remain stable. There is a tradeoff in steerability compared to the previous model (-6.0% vs. +1.2%).
GLM-5.2 remains the same price as GLM-5.1, $1.4/$4.4 per input/output MTokens. 1M context window.
Huge congrats @Zai_org for the incredible release!
See thread for details on how GLM-5.2 (Max) performs across 5 different signals.
markey.tan retweeted
GLM-5.2 on KingBench (3).
Thoughts: The model has superb taste. It is greater at UX than UI. The code is always very clean. It is great at One-shot wonders. I asked it to fine-tune a whole local model and it did it in 30mins!
This is just a great model to use all-round.
1/n
markey.tan retweeted
GLM-5.2. Open-source. 1M context.
When one door closes, another opens.
– GLM Team Coding Plan: live now
– API: this week
Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere.
GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans.
docs.z.ai/devpack/latest-mod…
As our new flagship model, GLM-5.2 delivers powerful coding capabilities, usable 1M-context support, and continued strengths in long-horizon tasks.
API and Chatbot services will launch next week. The model will also be officially open-sourced next week under the MIT License.
The future of AI is open, and it belongs to the people.
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: science should be global.
The path to AGI (Artificial General Intelligence) must never be enclosed by high walls. We have always believed that AGI should be the cornerstone for all of humanity to collaboratively explore the boundaries of intelligence and solve complex challenges, rather than a privilege monopolized by a few rules and subject to revocation at any moment. In the face of external blockades and restrictions, our attitude is one of radical openness. Frontier intelligence must remain open-source, accessible, and buildable, serving every dedicated developer.
GLM-5.2 is Zhipu's most capable open-source model to date. It not only supports a truly usable 1M context window but also maintains a continuous lead in the independent completion of long-horizon tasks, providing solid foundational support for building complex agent applications. It also continues to be our main engine for creating the strongest domestic coding model.
Tonight at 5:21—at this special moment—GLM-5.2 will officially be available to all GLM Coding Plan users (including Lite / Pro / Max). The API will also go live next week.
A step closer to frontier intelligence for everyone.
The future of AI is open, and it is for the people.
ModelKey: GLM-5.2
markey.tan retweeted
🚀 Roll out GLM-5.2 for your entire engineering team with our Team Coding Plan!
Most AI coding tools only serve solo devs. We built for engineering leaders: seat management, usage tracking, budget control & full code privacy.
✅ 1M context window for full-repo work
✅ Advanced agentic coding, full-stack support & code translation
✅ Team roles, usage analytics & budget caps
✅ Zero data/code used for model training
💰 Starting at ¥598/seat/month
Try it on your codebase: Send us a real task for a 5-min benchmark test.
📩
Startups: [email protected]
Enterprise: [email protected]
#AI #LLM #DevTools #SoftwareEngineering
Introducing Agent Arena: real-world agentic evals at scale.
How do you evaluate agents doing actual work? We measure millions of live sessions where real users accomplish real tasks.
On Arena, models now get web search, filesystem, and terminal tools to complete complex workflows: writing code, creating slide deck, researching the web, building apps, and analyzing documents.
Every session produces rich signals. Users iterate with the agent turn-by-turn: approving, editing, correcting, praise or expressing frustration. The environment gives feedback too: shell errors, tool failures, recovery attempts, and more.
Our leaderboard measures each model's agentic performance using causal inference across five signals: task success, steerability, error recovery, user praise vs. complaint, and tool hallucination.
This leaderboard snapshot is built from 300K+ tasks, 2M+ tool calls, and 40M lines of code by agents.
Top labs in Agent Arena:
- #1 @OpenAI: GPT-5.5 (High)
- #2 @AnthropicAI: Claude-Opus-4.7 (Thinking)
- #3 @Zai_org: GLM-5.1
- #4 @GoogleDeepMind: Gemini-3.1-Pro
- #5 @Kimi_Moonshot: Kimi-K2.6
More analysis in the thread, with the full technical blog below.
Introducing Agent Mode: Agentic AI is now measured in the Arena.
Agent Mode can do deep research, create reports, generate images, build websites, debug code, and more.
It completes more complex tasks by using tools like web search, bash in a sandbox environment, image generation, file writing, and asking follow-up questions.
Frontier models are waiting for you in Agent Mode to take on real-world tasks. GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, and top open models. Test them yourself.
































