Can Zhipu’s Free AI Agent Outperform GPT‑4o?

The AI landscape is no stranger to bold claims when it comes to, but every once in a while, one actually lands. Zhipu AI’s latest entrant—AutoGLM Rumination—has done just that, turning heads by outperforming GPT‑4o on key benchmarks, all while being completely free to use.

Born out of China’s accelerating open-source push, this agent isn’t just a showcase of technical muscle—it’s a statement. With speed, efficiency, and surprising depth, it’s making global developers, researchers, and even enterprises pause and take notice.

So, is AutoGLM Rumination the real deal?

Let's dig in and see if it lives up to the hype, starting with a breakdown of what this AI agent is all about.
 

What Is Zhipu's AutoGLM Rumination?

AutoGLM Rumination is Zhipu AI’s free, next‑generation autonomous agent launched on March 31, 2025. It’s powered by dual proprietary models—GLM‑Z1‑Air (for reasoning) and GLM‑4‑Air‑0414 (foundation).


Imagine if the hackathon organizer had provided all the tools needed to develop and test the app, free of charge. That's the kind of solution Zhipu AI is going for with AutoGLM Rumination. This Chinese AI agent isn't just a chatbot; it's a composite AI agent designed to handle real tasks.

We're talking:
 

• Web Search: Need to find the best pizza place in town? AutoGLM's got you.

• Travel Planning: Planning an impromptu trip? It can help with itineraries.

• Research Reports: Have a research paper due? It can assist with gathering data, too.

It's like having a super-efficient AI assistant, without the awkward office small talk. However, can it really claim its throne from OpenAI’s GPT-4o?

Let's dig into the tech details and see if AutoGLM Rumination truly lives up to the hype.
 

What Powers Zhipu's AutoGLM Rumination Models?

So, what's under the hood of Zhipu's AutoGLM Rumination? Let's break it down.
 

• Dual Core Mode

  AutoGLM Rumination is powered by two main large language models (LLMs): GLM-Z1-Air and GLM-4-Air-0414. Think of GLM-4-Air-0414 as the foundation, providing the general knowledge and language skills necessary for success. Then, GLM-Z1-Air steps in to handle the heavy lifting, taking care of reasoning and complex problem-solving.

  Source

• Multi-Layered, Tool-Using Architecture

  AutoGLM Rumination employs a layered agentic framework, where one layer plans the task (deciding what action to take), another handles grounding (determining how to interact with an interface), and the execution layer carries it out. Reinforcement Learning (RL) orchestrates these layers, allowing the agent to navigate complex digital environments autonomously, like a human using apps through trial and error.

• Intermediate Interface Design

  Instead of bundling decisions into one step, AutoGLM separates the planning (“what needs to be clicked on”) from the grounding (“where it is on screen”). This split enables the agent to better generalize across diverse applications and adjust when UI layouts change. This design mirrors how humans visually interpret interfaces, making the AI more adaptable and resilient.

• Self-Evolving Curriculum RL

  AutoGLM uses a self-evolving curriculum built on online reinforcement learning. As it performs tasks, it autonomously adapts to increasing complexity over time. This approach enables the AI to learn from its mistakes and handle diverse scenarios without requiring manual retraining. It effectively "learns how to learn," constantly refining its performance through real-time feedback loops.

• Support For Multimodal Integrations

  AutoGLM isn’t limited to text and integrates GLM‑4‑Voice, enabling seamless voice-based interactions across widely used apps, such as WeChat in China. This means the agent can operate in a natural, conversational manner when ordering food, searching for products, or managing tasks—making it practical for real-world use and accessible to non-technical users.

Zhipu AI emphasizes the efficiency of these agentic models and hence has claimed that the GLM-Z1-Air model can match the performance of DeepSeek-R1 while running up to 8x faster and requiring only 1/30 times the computing power. That's a huge deal, right?

It's like getting Ferrari performance with a Prius engine – that you got for free!

Well, with that claim, how does this agent stack up against the competition? Let's examine some benchmark comparisons.
 

What Are Zhipu's AutoGLM Rumination's Benchmark Comparisons With GPT-4o?

Let's peek at some LLM benchmarks and see if it's a contender or just another face in the crowd.
 

Benchmark / Task	AutoGLM (GLM‑4‑Air‑0414 / GLM‑Z1‑Air)	GPT‑4o
AgentBench – Browser automation (VAB‑Web)	55.2 % success rate (SR)	18.2 % SR
AgentBench – OpenTable booking	96.2 % SR	62.6 % SR
AgentBench – Android interface control	36.2 % SR	31.2 % SR
AgentBench – Human-evaluation of real tasks	89.7 % SR	(not reported)
LiveCodeBench – Code task accuracy (HumanEval)	92.7 %	90.1 %

Summarizing the benchmarks, AutoGLM rumination is:
 

• Dramatically better on GUI-based tasks like web browsing (55.2% vs 18.2%) and OpenTable booking (96.2% vs 62.6%).

• Slightly better on Android UI control (36.2% vs 31.2%).

• Outperforms GPT-4o with 92.7% accuracy, compared to GPT-4o’s 90.1%, in terms of code generation.

Yes—the benchmarks hold up under scrutiny, indicating that AutoGLM not only competes but often surpasses GPT‑4o, especially in real-world, tool-based applications.

It's worth noting that benchmarks are just one piece of the puzzle. Real-world performance can vary wildly depending on the specific task and how you're using the model. So, take these numbers with a pinch of salt.

After all, China is in the middle of an AI race driven by significant state funding, giving companies like Zhipu a distinct advantage. They now have access to resources and support that only Big tech companies could claim.


This backing allows them to develop, test, iterate, and deploy AI models at a rapid pace. Zhipu's focus on Chinese language processing also gives it an edge in the local market, with GLM-4 having an upper hand in Chinese language processing.

It's worth noting that Zhipu's strategic advantage in its own region could allow GLM-4 to dominate the Chinese market and potentially expand to other East Asian languages. This specialized focus could enable it to carve out a niche market where it can outperform GPT-4o.

So, where does Zhipu fit in? It's a serious contender, especially in the Chinese market. It's a free AI agent and focuses on efficiency, making it an attractive option.

Which brings us to discuss its current adoption rate. Let's find out.
 

What Is The Adoption Level Of Zhipu's AutoGLM Rumination?

So, how's Zhipu's AutoGLM Rumination doing in the real world? Well, it's got some hurdles to clear, especially outside of China, including:
 

• Language Barrier: The default interface is entirely in Chinese, making it difficult for non-Chinese users to navigate or adopt without the use of third-party translation tools.

• Cumbersome Sign-Up: Users outside China report friction due to mandatory OTP (One-Time Password) verification and a region-locked registration process.

• Limited Documentation In English: Developer guides, SDKs, and community support are still primarily available in Mandarin, which limits engagement from global developer communities.

• Lack Of App Store Accessibility: In many regions, the AutoGLM app is not yet officially listed on Google Play or the Apple App Store.

Despite these issues, AutoGLM Rumination has seen rapid adoption at home. Now, to unlock international adoption, Zhipu is taking steps toward localization and user experience upgrades:
 

Focus Area	Planned Initiatives
Language Localization	Launching an English UI and multilingual support across web and mobile platforms
Sign-Up Simplification	Reducing OTP dependency, exploring global logins via email or OAuth
International Outreach	Establishing Belt and Road AI hubs in Southeast Asia and the Middle East
Developer Enablement	Publishing English SDKs, open APIs, and developer guides to attract global contributors

Despite the roadblocks, one thing is clear—AutoGLM Rumination isn’t just a technical demo or a science project. It’s already solving real-world problems for millions of users. From simplifying research to automating routine tasks, its versatility is turning heads.

So, what exactly can it do? Let’s explore the key use cases of Zhipu’s AutoGLM Rumination!
 

What Are The Use Cases Of Zhipu's AutoGLM Rumination?

As more users get their hands on AutoGLM Rumination, its versatility is starting to shine. Whether you're navigating a complex task or simply trying to offload routine work, this AI agent steps in like a reliable digital sidekick.

AutoGLM can help structure, refine, and even generate drafts with a professional tone. It supports code generation and debugging with accuracy that rivals premium models. AutoGLM can also combine web search, summarization, and itinerary planning into a single smooth experience. Early users have praised its ability to generate clean, well-structured resumes, with formatting and tailored content, making it a valuable tool for professionals and students alike.

To sum it up, AutoGLM is finding traction in four key areas:
 

• Technical writing and content creation

• Code generation and task automation

• Research support and summarization

• Travel and scheduling assistance

However, it’s not flawless. Some users have flagged occasional hallucinations or missing citations, so it still benefits from human oversight. Yet, as a free AI agent, its capabilities are already making waves—and with a bit more polish, it might just become a global AI contender.
 

So, Who Wins the AI Agent Showdown?

Picking a clear winner between Zhipu's free AI agent and GPT-4o isn't as simple as it seems.

Zhipu's open agent, with its focus on Chinese language and local applications, really shines in its home market. It's fast, efficient, and clearly built with specific regional needs in mind.

However, then you have GPT-4o, a global player, excelling in nearly everything and fluent in many languages. It's the generalist who can handle a huge variety of tasks. If you need a versatile AI tool for a wider range of tasks, GPT-4o still holds its ground.

For everyday users, the free aspect of Zhipu's offering is a big deal, making powerful AI more accessible. So, if you're deep into the Chinese market, Zhipu might be your new best friend.

Ultimately, the 'better' agent depends on what you need it for.

The good news is that this competition means both are improving, and we, the users, benefit from the improvements!