GLM-5.2 作为开放权重模型发布,采用 MIT 许可,拥有 1M 上下文窗口。提供两种推理模式:max(极限推理)和 high(平衡性能与 token 效率)。在编码和智能体任务上有显著提升,专为大规模实现、自动化研究、性能优化和复杂调试训练。API 定价与 GLM-5.1 保持一致。
Lets go, GLM-5.2 released as Open Weights model.
tl;dr -1M context window -MIT-licensed open weights -Stronger long-horizon coding agents -Two reasoning modes: max and high -Same API pricing as GLM-5.1
Zai says GLM-5.2 was trained specifically for large-scale implementation, automated research, performance optimization, and complex debugging.
Open Source got a serious upgrade today!