GLM-5.3

Interconnects reports that Zhipu's GLM-5.3 switched from the MIT license used for GLM-5.2 and earlier releases to a new custom Z.AI license, breaking from the broader 2025–2026 trend of Chinese model makers adopting MIT or Apache 2.0. The custom license contains a Model-as-a-Service clause requiring any licensee (or af While the US$10 billion revenue threshold is high relative to comparable clauses in Kimi K3 and M3 licenses, Interconnects flags that "affiliates" is not defined in the English text of the GLM-5.3 license, creating adoption uncertainty, even though the Chinese version uses "关联方," which has a defined meaning under Ch

Z.ai announced GLM 5.3 on August 14, 2026, as an open-weight model built entirely through post-training on the same base architecture as GLM 5.2, with no new base-model scaling, according to BetaNews. The release is positioned for advanced coding and cybersecurity work, accompanied by a scanning service called OpenVuln On self-reported benchmarks, GLM 5.3 reached 84.5% on CyberGym (up from 77.2% for GLM 5.2) and 54.4% on ExploitBench (more than double GLM 5.2's 24.4%), figures that have not been independently verified. Z.ai's public disclosure ledger credits the model with 2,436 vulnerability findings across 269 open-source projects,

Z.ai announced GLM-5.3 on August 14, 2026, initially available only through the coding plan, with the API coming later and open weights on Hugging Face planned about two weeks after launch. Nathan Lambert of Interconnects frames GLM-5.3 as a roughly 750B-parameter model sitting at the frontier of agentic coding, report The Interconnects piece is analyst commentary rather than independent benchmark verification, and its comparative claims (Kimi K3, Claude Fable 5, GPT-5.6-Sol) are unverified against other sources. The post also raises the broader question of how Chinese labs keep stride with the frontier, and explicitly argues GLM-5.3

GLM-5.3 was announced by Z.ai on August 14, 2026 as a post-training-only release built on the same base model as GLM-5.2, with every capability gain coming from expanded post-training. The model is positioned for frontier coding and emergent cyber capabilities, with Z.ai claiming a roughly 50% coding gain on the in-hou Technically, GLM-5.3 is text-only, always-reasoning (reasoning cannot be disabled), with a 1M-token context, 128K max output, and three thinking-effort levels (low, high, max, default max). GLM-5.2, the sibling release in the family, shipped as MIT-licensed open weights on Hugging Face and ModelScope with a solid 1M co