web3: Z.ai Launches GLM-5.3 Programming Model Aiming at the Open-Source Weight Market
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Z.ai launches GLM-5.3, focusing on programming capabilities, lower token consumption, and subsequent open-weight releases.
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北京 AI 公司 Z.ai 发布新一代编程模型 GLM-5.3。公司披露称,这款模型已先通过 GLM Coding Plan 订阅服务和 ZCode 上线,API 与可下载权重将在完成安全审查后分阶段开放。

参数规模升至 7430 亿

公司称,GLM-5.3 建立在 GLM-5.2 基础之上,主要通过扩大后训练规模完成升级,而不是重做底层架构。训练重点放在更多环境、更丰富任务和更高算力投入,同时强调 token 使用效率。

按 Z.ai 说法,GLM-5.3 的参数量为 7430 亿。在自家 Z.ai Code Bench 测试中,模型在最高强度设置下得分 34.5%,高于 GLM-5.2 的 23.4%。单任务输出 token 消耗约为 7.5 万,低于前代的 9.6 万。

核心榜单仍落后美国闭源模型

从公开对比看,GLM-5.3 已超过部分开源或中国同类模型,但在一些核心编程榜单上,领先位置仍由美国闭源模型占据。

在 Terminal Bench 3.0 这类真实 Linux 环境下的工具调用测试中,GLM-5.3 得分 28.3,低于 Fable 5 的 33.7 和 GPT-5.6 Sol 的 34.6。在修复 GitHub 真实问题的 DeepSWE v1.1 测试中,GLM-5.3 得分 66.9,也略低于 Kimi K3 的 67.5 和 Fable 5 的 69.7。

低价与开放权重吸引开发者

除性能外,价格和开放权重安排也是这次发布的重点。Z.ai 介绍,GLM Coding Plan 采用积分制,非高峰时段调用成本减半,其 API 定价也低于部分美国前沿模型。

文章提到,GLM-5.2 官方价格为每百万输入 token 1.40 美元、每百万输出 token 4.40 美元。作为对比,GPT-5.3-Codex 的价格约为每百万输入 token 1.75 美元、每百万输出 token 14 美元。按发布说明,GLM-5.3 的模型权重预计将在约两周后向公众开放。

补充信息:Z.ai 总部位于北京,已被列入美国实体清单。此次“开放权重”指后续将发布的版本,当前上线的是订阅服务与工具入口,模型权重暂未开放下载。

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