GLM 5.2🔒Private

• - 🔒 Runs in a Trusted Execution Environment with hardware attestation evidence.
• - 📏 One-million-token context window for project-level engineering work.
• - 🔧 Coding-first flagship tuned for long-horizon agentic software tasks.
• - 🧠 Enhanced reasoning with project-level engineering context.
• - 🌐 Web search and tool calling supported.
• - 📚 MIT-licensed model from Z.ai.
• - 🏢 Z.ai's flagship for long-horizon tasks.

Z.ai

Z.ai, formally Knowledge Atlas Technology Joint Stock Co., Ltd., is a Chinese technology company specializing in artificial intelligence. Previously known internationally as Zhipu AI, the company rebranded to Z.ai in 2025. Its core focus is the GLM family of…

GLM 5.2 is Z.ai's confidential-compute flagship for long-horizon tasks, packaging the standard GLM 5.2 release inside a Trusted Execution Environment that produces hardware attestation evidence for independent verification. Z.ai positions it as a model built for project-level engineering: planning, executing, and refactoring across an entire codebase with enhanced reasoning. The catalog lists a one-million-token context window, supporting whole-repository operations in a single session.

Within this TEE-hosted family, the prior entry was GLM 4.7, and the immediate lineage predecessor is GLM 5.1. GLM 5.2 advances that line with its enlarged context window and a stated focus on long-horizon, multi-file agentic work, alongside built-in web search and tool calling.

On the underlying capability, Z.ai's own documentation reports that GLM-5 reached open-model scores of 77.8 on SWE-bench Verified and 56.2 on Terminal Bench 2.0, and that it showed substantial gains over GLM-4.7 across frontend, backend, and long-horizon execution tasks. These figures are vendor-reported and describe the GLM-5 generation rather than 5.2 specifically.

The model is offered under an MIT license. Treat early generational performance comparisons with caution until a 5.2-specific technical report is available.