GLM-Zero-Preview is a cutting-edge AI reasoning model developed by Zhipu AI, designed to excel in tasks requiring deep reasoning, such as mathematical logic and coding challenges. Launched in late 2024, it has already shown impressive performance in several benchmarks, rivaling top-tier models like OpenAI’s preview versions. Available for public use on the “Zhipu Qingyan” platform, this model promises to be a game-changer in advancing reasoning capabilities while maintaining robust performance in general tasks.

Introduction to GLM-Zero-Preview

In December 2024, Zhipu AI unveiled GLM-Zero-Preview, a breakthrough in reasoning AI models. While many language models are excellent at general-purpose tasks, such as text generation and translation, GLM-Zero-Preview sets itself apart with a focus on deep logical reasoning and problem-solving. This model uses extended reinforcement learning techniques to perform complex tasks, particularly excelling in mathematics, logic, and coding.

One of the model’s standout achievements was its performance in standardized AI benchmarks such as AIME 2024, MATH500, and LiveCodeBench, where it performed on par with OpenAI’s top models. These evaluations involved rigorous mathematical challenges, logic puzzles, and real-time coding problems that most general models struggle with. Unlike typical models that may stumble over multi-step reasoning, GLM-Zero-Preview handles these tasks with notable precision. Importantly, it achieves this without sacrificing its general-purpose performance. In short, it’s not just a specialist—it’s an all-rounder with expert-level reasoning capabilities.

Why GLM-Zero-Preview Matters

The creation of GLM-Zero-Preview signals a shift in how AI can be applied to specialized domains. One practical example of its power comes from its performance in the 2025 postgraduate exam for Math 1, where it scored an impressive 126 points—equivalent to what top-performing human graduate students would achieve. This not only demonstrates the model’s strength in computation but also its ability to comprehend and approach complex, layered problems.

Additionally, this model has made significant progress in areas such as coding, where it has become a valuable tool for developers. The ability to reason through logic-based errors, suggest optimal solutions, and walk users through the thought process makes it an essential resource for coding projects. By offering a step-by-step breakdown of complex algorithms, GLM-Zero-Preview bridges the gap between “just giving answers” and fostering a better understanding of the solution. Developers can upload code snippets or images of their coding challenges and receive detailed feedback on where they went wrong and how to improve their approach.

Future Potential and Access

GLM-Zero-Preview is publicly available on the Zhipu Qingyan platform, where users can freely explore its reasoning capabilities. It supports both text and image input, providing users with highly detailed explanations of its thought processes. The model is also accessible via Zhipu AI’s API for developers who want to integrate this reasoning powerhouse into their applications.

Despite its strong performance, GLM-Zero-Preview still has room for growth. Compared to OpenAI’s more mature models like the “o3” series, there are areas where further improvements can be made. However, Zhipu AI is already working on enhanced reinforcement learning techniques to broaden the model’s range of capabilities. The goal is to expand beyond math and coding to tackle more diverse real-world applications, such as medical research, law, and scientific exploration.

Ultimately, GLM-Zero-Preview is a glimpse into the future of AI—a future where models can truly “think” through problems, making them not only assistants but also trusted collaborators in professional fields.