GLM-5
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.
zhipuGLMFebruary 11, 2026About GLM-5
Learn about GLM-5's capabilities, features, and how it can help you achieve better results.
GLM-5 is Zhipu AI's next-generation flagship foundation model, specifically engineered to redefine the state of Agentic Engineering for open-weight systems. Built on a massive 744 billion parameter Mixture of Experts (MoE) architecture with 40 billion active parameters, it is the first open-weights model to bridge the performance gap with proprietary giants like Claude 4.5. This model excels in logic density and software engineering, achieving a breakthrough 77.8% on SWE-Bench Verified.
Technically, GLM-5 integrates advanced Multi-head Latent Attention (MLA) and Sparse Attention mechanisms to optimize token efficiency and reduce memory overhead by 33%. Trained on a scale of 28.5 trillion tokens using a purely domestic cluster of 100,000 Huawei Ascend chips, GLM-5 demonstrates that frontier-level reasoning is possible without dependency on high-end NVIDIA hardware. With its 200,000 token context window and specialized 'Thinking Mode,' it provides robust, low-hallucination outputs for high-precision technical workflows.
Optimized for reliability, GLM-5 serves as a foundation for autonomous technical agents capable of maintaining persistent state across long-horizon executions. Its permissive MIT licensing and competitive pricing of $1.00 per million input tokens make it an ideal choice for enterprises seeking local deployment or high-scale API integration without the restrictive terms of proprietary alternatives.
Use Cases for GLM-5
Discover the different ways you can use GLM-5 to achieve great results.
Complex Systems Engineering
Designing and maintaining microservice architectures with autonomous dependency management.
Long-Horizon Agentic Tasks
Executing multi-step technical workflows that require persistent memory for over an hour of execution.
Legacy Codebase Migration
Refactoring entire repositories and updating outdated dependencies across a 200k token window.
Low-Hallucination Technical Research
Conducting high-precision technical research where factual accuracy and abstention are paramount.
Autonomous Terminal Operations
Powering dev-agents that can autonomously run security audits and system administration commands.
Bilingual Global Deployment
Providing top-tier English and Chinese reasoning for localized enterprise applications at scale.
Strengths
Limitations
API Quick Start
zai/glm-5
import { ZhipuAI } from "zhipuai-sdk";
const client = new ZhipuAI({ apiKey: "YOUR_API_KEY" });
async function main() {
const response = await client.chat.completions.create({
model: "glm-5",
messages: [{ role: "user", content: "Analyze this repo for security vulnerabilities." }],
stream: true,
});
for await (const chunk of response) {
process.stdout.write(chunk.choices[0].delta.content || "");
}
}
main();Install the SDK and start making API calls in minutes.
What People Are Saying About GLM-5
See what the community thinks about GLM-5
"GLM-5 is the new open weights leader! It scores 50 on the Intelligence Index, a significant closing of the gap."
"This model is unbelievable. I successfully ran a job that took over an hour... blew me away."
"GLM-5 used zero NVIDIA chips, 745B params, and costs $1 per million input tokens. This is the future."
"The hallucination rate is insane; it's much more willing to say 'I don't know' than lie to you."
"Zhipu AI just dropped the gauntlet for open source coding models."
"Finally, an open weight model that doesn't lose its mind halfway through a complex task."
Videos About GLM-5
Watch tutorials, reviews, and discussions about GLM-5
“It is by far the best openweight model I have seen, especially for code stuff.”
“The fact this is the first openweight model that I've successfully run a job that took over an hour... blew me away.”
“It appears to be the model that hallucinates the least of any model to date.”
“We are seeing a massive shift in what open weight models can actually do in production.”
“The stability of this model during long tool-use sessions is genuinely unprecedented.”
“The coding feel here is very, very potent... comparable to GLM 4.7 which was already a unicorn.”
“The introduction of the dynamic island in its UI mockup was a very cool, unexpected special feature.”
“It's outperforming almost every other model in its class for complex logic.”
“The reasoning depth here reminds me of the first time I used o1, but it's open weight.”
“For a text-only model, it handles visual logic in code better than many vision models.”
“Memory usage has shot down... we got 33x memory improvements compared to what we were doing previously.”
“It passed the car wash logic test with thinking enabled, beating out Claude and GPT-4o.”
“Deploying this requires a serious server rack, but the performance per watt is insane.”
“It handled my legacy repo migration without a single hallucinated library name.”
“The thinking mode isn't just a gimmick; it fundamentally changes the output quality.”
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Pro Tips for GLM-5
Expert tips to help you get the most out of GLM-5 and achieve better results.
Enable Thinking Mode
GLM-5 performs significantly better on complex logic puzzles like the 'car wash' test when reasoning is enabled.
Leverage the MIT License
Take advantage of the permissive licensing for unrestricted commercial development and internal hosting.
Tool Use Optimization
Use GLM-5 for multi-step tasks as it is specifically purpose-built for high stability in agentic tool execution.
Context Window Utilization
Input entire codebases into the 200k window to perform repository-wide security audits or refactoring.
Testimonials
What Our Users Say
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Frequently Asked Questions About GLM-5
Find answers to common questions about GLM-5