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GLM-5.3 - Zhipu's latest open-source foundational large model, offering a 50% improvement in programming capabilities.
GLM-5.3 is the latest open-source foundational large-scale model from Zhipu. Like GLM-5.2, it utilizes the same foundation, significantly enhancing its intelligence ceiling through extreme post-training scaling. GLM-5.3 is currently the most programmable open-source model.
What is GLM-5.3?
GLM-5.3 is the latest open-source foundational model from Zhipu, sharing the same foundation as GLM-5.2. It significantly enhances the upper limit of intelligence through extreme post-training scaling. GLM-5.3 is currently the most programmable open-source model, ranking first in multiple benchmark tests such as Terminal Bench and DeepSWE. It also demonstrates strong cybersecurity capabilities, matching Mythos 5 in white-box code review and vulnerability discovery. Zhipu will open-source the model weights within two weeks and launch the "Open Source Shield" initiative to promote security defense capabilities as a public good for developers worldwide.
Main functions of GLM-5.3
- Programming DevelopmentGLM-5.3 is currently the most powerful open-source software library, capable of handling complex software engineering, terminal operations, long-term code modifications, and end-to-end development task execution. In a real development environment, it can complete the entire process from requirements analysis to code implementation and testing, just like an engineer.
- Intelligent agent taskIt supports cross-tool collaboration and long-term task planning and execution, covering high-value knowledge work in 44 professional scenarios, and performs outstandingly in benchmark tests such as Agents’ Last Exam.
- Network security defenseIt possesses capabilities such as white-box code review, vulnerability discovery and verification, and vulnerability exploitation analysis. It has achieved top-level performance in security benchmark tests such as CyberGym and ExploitBench, and can be used for security auditing and CTF problem solving.
- Code auditIt has been integrated into the official programming tool ZCode of Zhipu, and can automatically perform security checks in the daily R&D process, helping developers to discover potential risks during the coding stage.
- Multi-platform accessIt supports mainstream coding platforms such as TraeWork, Button, WorkBuddy, Qoder, and CatPaw, allowing developers to utilize GLM-5.3 capabilities in various development environments.
Technical Principles of GLM-5.3
- Post-training ScalingGLM-5.3 shares the exact same base model as GLM-5.2. The performance leap comes entirely from extreme post-training scaling. By expanding the training environment by tens of times, introducing a wider variety of task types, and investing a long post-training time, based on IndexShare, SAO, and the next-generation Slime reinforcement learning framework, the model's capability boundaries are efficiently pushed forward without changing the base model.
- Emergent capability mechanismThe model training environment has been expanded from the traditional "completing programming problems" to a complete process that closely resembles the work of real experts. The workload can reach the scale of an engineer working for several consecutive days. The model needs to be executed end-to-end in real computing clusters, storage systems, code bases and experimental results. It learns the closed-loop ability from problem identification, analysis and reasoning, implementation and verification to independent completion of work.
- Tiered risk review systemGLM-5.3 employs the principle of defense in depth to construct a three-layer review architecture spanning from the API to the model itself. The outer lightweight classifier intercepts large-scale abuse requests, the inference monitor reviews the task intent in real time during model operation, and the deep security alignment allows the model to fundamentally and autonomously identify and reject malicious requests, forming a multi-layered, redundant, and mutually independent robust protection system.
- Intelligent review methodsThe review system distinguishes between attack and defense tasks based on "intent" rather than "keywords." It uses differential data synthesis and adversarial training to counter jailbreak variants and camouflage techniques. At the same time, it categorizes cybersecurity tasks by risk level (such as security knowledge Q&A, blue team defense, CTF, vulnerability discovery, penetration testing, and real intrusion), and constructs tiered risk instances for each category to ensure accurate blocking of high-risk requests without mistakenly blocking legitimate low-risk routine tasks.
- Safety assessment systemZhipu, in collaboration with top domestic security teams, conducts continuous red team testing and automated attack and jailbreak assessments. It continuously iterates and strengthens the review system using newly generated jailbreak samples. Before open-sourcing, it invites professional teams such as DARKNAVY to conduct independent assessments of the model's risk and task capabilities to ensure a good balance between protection and capability release.
How to use GLM-5.3
- ZCode (programming tool)The AI programming tool officially launched by Zhipu has integrated GLM-5.3 and supports code generation, review, and end-to-end development tasks.
- AutoClaw (Efficiency Tool): Zhipu's official productivity tool, integrated with GLM-5.3, can be used for daily office work and automation tasks.
- GLM Coding PlanThe Zhipu official programming subscription plan is now open to all users.
GLM-5.3's core advantages
- Programming skillsGLM-5.3 is currently the most powerful open-source model in terms of programming capabilities. It ranks first in multiple benchmark tests such as Terminal Bench and DeepSWE, and its token utilization efficiency is significantly better than similar closed-source models.
- Network security defenseAfter successful training, it has demonstrated strong white-box code review and vulnerability discovery capabilities, matching Mythos 5 in security benchmarks such as CyberGym, and has already helped discover thousands of high-risk vulnerabilities in real-world environments.
- Post-training ScalingSharing the same base as GLM-5.2, it achieved a leap in capabilities simply by expanding the training environment by tens of times, enriching the task types, and extending the post-training time, proving that the upper limit of base intelligence has not been fully developed.
- Token efficiencyIn real-world programming scenarios, GLM-5.3 achieves an accuracy of 31.4% with approximately 50,000 tokens, surpassing Claude Opus 4.8's 29.5% achieved with 120,000 tokens, with a shorter execution path and lower cost.
- Democratization of Open Source SecurityWe uphold the weight of the open-source model and have launched the "Open Source Shield" initiative to transform cutting-edge security defense capabilities from a privilege reserved for a few closed-source organizations into a public good that can be equally accessed by global developers and the open-source community.
- Layered risk reviewIt adopts a three-layer defense-in-depth architecture consisting of an outer classifier, an inference monitor, and deep security alignment. It accurately intercepts high-risk attack requests based on intent rather than keywords, while ensuring that legitimate security tasks such as blue team defense and CTF training are not affected.
Comparison of GLM-5.3 with similar competing products
| Comparison Dimensions | GLM-5.3 | Kimi K3 |
|---|---|---|
| Developer | Z.ai | The Dark Side of the Moon (Moonshot AI) |
| open source | Full weights will be open source in two weeks. | open source |
| Programming skills (Terminal Bench 3.0) | 28.3 | 17.4 |
| Programming skills (DeepSWE) | 66.9 | 67.5(Slightly higher) |
| Programming skills (Agents’ Last Exam) | 28.5 | 27.6 |
| Cybersecurity (CyberGym) | 84.5% | 80.0% |
| Cybersecurity (ExploitBench) | 54.4% | 32.2% |
| Cybersecurity (ExploitGym 6-hour task count) | 130 | 70 |
Application scenarios of GLM-5.3
- AI-assisted programming and complex software developmentDevelopers can use ZCode or third-party coding platforms to call GLM-5.3 to complete end-to-end software engineering tasks, from requirements analysis, code generation, long-term modification to testing and verification. It is especially suitable for large-scale project iterations and terminal environment operation.
- Enterprise code security audit and vulnerability defenseThe security team uses GLM-5.3's white-box code review capabilities to perform automated vulnerability scanning and risk assessment on their own codebase and open-source dependent components, discovering and fixing potential threats before attackers can exploit them.
- Continuous security maintenance of open source projectsThrough the "Open Source Shield" program, open source project maintainers can apply for free model quotas to conduct continuous security audits of key open source projects, helping the community to discover and fix underlying risks that have gone unnoticed for years.
- Security research and talent cultivationUniversities and training institutions use GLM-5.3 to conduct CTF teaching, blue team defense drills, and security knowledge Q&A. The model can intercept real attack missions while supporting low-risk experimental and educational security missions.
- Critical infrastructure and protocol securityThe security lab uses GLM-5.3 to analyze underlying infrastructure such as operating system kernels, browser engines, DNS protocols, and communication software, discovering protocol-level or architecture-level vulnerabilities that have been lurking for decades, preventing large-scale systemic risks.