GLM-5.2
GLM-5.2 is Zhipu AI's flagship open-weight model featuring a 1M context window and specialized agentic coding capabilities under an MIT license.
zhipuGLM-5June 16, 2026About GLM-5.2
Learn about GLM-5.2's capabilities, features, and how it can help you achieve better results.
Mixture of Experts Architecture
GLM-5.2 is a Mixture of Experts (MoE) flagship model designed for long horizon tasks and autonomous agentic workflows. It utilizes a massive 753 billion parameter architecture with approximately 40 billion active parameters per token. This design represents a significant leap in efficiency for the GLM series by reducing compute costs while maintaining performance for complex logical tasks.
IndexShare Efficiency
The model introduces IndexShare, a novel architectural improvement that reuses indexers across sparse attention layers. This innovation reduces per token floating point operations by 2.9 times at the full 1 million token context length. This efficiency makes the massive context window actually usable for large scale projects rather than just a theoretical limit.
Specialized Agentic Training
What distinguishes GLM-5.2 from alternatives is its focus on long horizon coding trajectories. It was specifically trained on complex debugging and implementation tasks across entire codebases. Developers can toggle between High and Max thinking effort levels, allowing the model to spend more compute on internal reasoning for systems optimization and advanced mathematical problem solving.
Use Cases
Discover the different ways you can use GLM-5.2 to achieve great results.
Agentic Software Engineering
Deploy the model within autonomous frameworks to handle development tasks from requirements gathering to final deployment.
Large Scale Code Refactoring
Analyze and rewrite multi-file software projects by loading the entire codebase into the 1M token context window.
Automated Document Review
Process massive legal or technical documentation sets to identify inconsistencies or extract structured data with high reasoning accuracy.
3D Scene Generation
Utilize the specialized strength in WebGL and HTML5 to generate complex interactive 3D visualizations from text prompts.
Business Logic Automation
Plug the model into agent operating systems to manage shared memory and execute scheduled multi-hour workflows without oversight.
Local Privacy First Development
Run the open weight model on private hardware clusters to ensure full data sovereignty for sensitive corporate engineering projects.
Strengths
Limitations
API Quick Start
zhipu/glm-5.2
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_Z_AI_API_KEY',
baseURL: 'https://api.z.ai/api/paas/v4/',
});
async function main() {
const completion = await client.chat.completions.create({
model: 'glm-5.2',
messages: [{ role: 'user', content: 'Design a WebGL 3D city scene.' }],
// @ts-ignore - specialized Z.ai parameter
thinking: { type: 'enabled' },
reasoning_effort: 'max',
});
console.log(completion.choices[0].message.content);
}
main();Install the SDK and start making API calls in minutes.
Community Feedback
See what the community thinks about GLM-5.2
“I've been saying for months that open source AI models are 6 months behind frontier. They caught up. GLM 5.2 is as good as Opus 4.8.”
“The jump between 5.1 and 5.2 is pretty huge... it really likes long chains of thought here and is beating out proprietary models.”
“The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB. GLM-5.2 is the strongest open model to date.”
“It leads open-weight models and has claimed the top spot on Design Arena, surpassing the now-unavailable Claude Fable 5.”
“The 1 million token context window is lossless, which is impressive for an open weight model.”
“Benchmark numbers are one thing, but in actual agent workflows, it feels very robust.”
Related Videos
Watch tutorials, reviews, and discussions about GLM-5.2
“The jump between 5.1 and 5.2 is pretty huge... it really likes long chains of thought here.”
“I really don't see the point in using models like Sonnet or Gemini Flash if this thing can replace it for much cheaper.”
“The 1 million token context window is lossless, which is impressive for an open weight model.”
“It’s clearly targeted at developers who need local control over their reasoning engines.”
“Benchmark numbers are one thing, but in actual agent workflows, it feels very robust.”
“It's the first open-weight model to get over 80 in Terminal Bench and is up there with GPT 5.5.”
“You went from 15,000 tokens to 30,000. This is token abuse... you're going to be waiting twice as long.”
“Local testing shows it handles complex file structures better than DeepSeek v4.”
“The reasoning effort Max really pushes the hardware, but the logic is sound.”
“MIT license means you can use this for basically anything without worrying about terms.”
“I've seen some crazy benchmarks scoring higher than Fable on design bench and it's getting buzz.”
“I asked GLM 5.2 to redesign this app... no failed edits. Really quite clean to be honest.”
“The frontend capabilities are a major standout for this version.”
“It feels more like a tool for building other tools than just a chatbot.”
“The ability to inspect thinking tokens is a developer's dream for debugging logic.”
Supercharge your workflow with AI Automation
Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.
Pro Tips
Expert tips to help you get the most out of GLM-5.2 and achieve better results.
Enable Max Reasoning for Logic
Activate the Max reasoning effort for complex coding or math tasks where accuracy is more critical than generation speed.
Load Entire Projects
Use the 1M context window to provide the model with entire project documentation and style guides to ensure consistent code output.
Optimize with Quantization
Utilize FP8 or 2-bit quantization for local deployments to fit the massive 753B parameter footprint onto high end hardware.
Inspect Thinking Tokens
Leverage native support for thinking tokens to inspect internal logic before the final answer to catch potential errors early.
Testimonials
What Our Users Say
Join thousands of satisfied users who have transformed their workflow
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Related AI Models
Qwen3.5-Omni
alibaba
Qwen3.5-Omni is a natively omnimodal AI by Alibaba Cloud, offering seamless audio-visual reasoning, real-time voice chat, and 256k context for low-latency apps.
GPT-5.4
OpenAI
GPT-5.4 is OpenAI's frontier model featuring a 1.05M context window and Extreme Reasoning. It excels at autonomous UI interaction and long-form data analysis.
Kimi K2 Thinking
Moonshot
Kimi K2 Thinking is Moonshot AI's trillion-parameter reasoning model. It outperforms GPT-5 on HLE and supports 300 sequential tool calls autonomously for...
GPT-5.3 Codex
OpenAI
GPT-5.3 Codex is OpenAI's 2026 frontier coding agent, featuring a 400K context window, 77.3% Terminal-Bench score, and superior logic for complex software...
GPT-5.2
OpenAI
GPT-5.2 is OpenAI's flagship model for professional tasks, featuring a 400K context window, elite coding, and deep multi-step reasoning capabilities.
Qwen3.6-Max-Preview
alibaba
Qwen3.6-Max-Preview is Alibaba's flagship MoE model featuring 1M context, a native thinking mode, and SOTA scores in agentic coding and reasoning.
GLM-5
Zhipu (GLM)
GLM-5 is Zhipu AI's 744B parameter open-weight powerhouse, excelling in long-horizon agentic tasks, coding, and factual accuracy with a 200k context window.
GLM-5.1
Zhipu (GLM)
GLM-5.1 is Zhipu AI's flagship reasoning model, featuring a 202K context window and an autonomous 8-hour execution loop for complex agentic engineering.
Frequently Asked Questions
Find answers to common questions about GLM-5.2