在衡量模型经营能力的Vending Bench2上，GLM-5取得开源模型第一的表现。Vending-Bench2要求GLM- 5在一年期内经营一个模拟的自动售货机业务，并尽可能多地在年底积攒银行账户余额。GLM-5目前的 账户余额达到4432美元，经营表现接近Claude Opus4.5，展现出优秀的长期规划与资源管理能力。 算力支撑方面，GLM-5已完成与华为昇腾、摩尔线程、寒武纪、昆仑芯、平头哥、沐曦等国产算力平 台的深度推理适配，通过算子优化与硬件加速，实现高吞吐、低延迟稳定运行，为线上服务提供坚实保 障。生态方面，开发者已利用其能力端到端地开发出可部署上线的应用。通过与OpenClaw等平台结 合，GLM-5能化身为7x24小时的智能助手，处理搜索、整理、编程等各类任务。 智谱(02513)新一代旗舰大模型GLM-5不仅在性能上领先，更具备端到端完成大型工程任务的能力，堪 称开源SOTA级"系统架构师"，同时已实现全栈国产芯片适配。 GLM-5面向生产级落地设计，可在极少人工干预下，自主完成Agentic长程规划执行、后端重构、深度 调试等系统工程任务。内部评估显示，其在前端、后端、长程编程任务上大 ...

三，重塑开发工作流：随模型同步推出的ZCode工具，允许开发者用自然语言描述需求，模型即可自动 拆解任务，指挥多智能体并发完成编码、调试、预览等全流程，甚至支持用手机远程指挥桌面端 Agent，将生产力无限延伸。 新浪科技讯 2月12日上午消息，今日凌晨，智谱开源发布新一代基座模型GLM-5，宣告大模型编程 从"写代码片段"的Vibe Coding时代，迈入"完成系统工程"的智能体工程时代。 据悉，GLM-5主要有三大突破性创新，有望成为真正对齐Anthropic Opus系列的国产模型。 一，性能对标顶级闭源模型：在权威编程基准测试中取得开源模型最高分，在真实编程场景中的体验已 逼近当前顶尖的Claude Opus 4.5，尤其在处理复杂系统工程与长周期项目上表现出色。 二，核心技术全面升级：模型底座参数规模达744B，并创新性地采用异步强化学习框架"Slime"和稀疏 注意力机制，在提升智能的同时大幅降低了部署成本。 一，性能对标顶级闭源模型：在权威编程基准测试中取得开源模型最高分，在真实编程场景中的体验已 逼近当前顶尖的Claude Opus 4.5，尤其在处理复杂系统工程与长周期项目上表现出色。 二， ...

智通财经APP获悉，智谱(02513)新一代旗舰大模型GLM-5 不仅在性能上领先，更具备端到端完成大型 工程任务的能力，堪称开源 SOTA 级 "系统架构师"，同时已实现全栈国产芯片适配。 GLM-5 面向生产级落地设计，可在极少人工干预下，自主完成Agentic长程规划执行、后端重构、深度 调试等系统工程任务。内部评估显示，其在前端、后端、长程编程任务上大幅超越GLM-4.7，真实编程 体验逼近 Claude Opus 4.5。 在衡量模型经营能力的Vending Bench 2上，GLM-5取得开源模型第一的表现。Vending-Bench 2要求 GLM-5在一年期内经营一个模拟的自动售货机业务，并尽可能多地在年底积攒银行账户余额。GLM-5 目前的账户余额达到4432美元，经营表现接近Claude Opus 4.5，展现出优秀的长期规划与资源管理能 力。 算力支撑方面，GLM-5 已完成与华为昇腾、摩尔线程、寒武纪、昆仑芯、平头哥、沐曦等国产算力平 台的深度推理适配，通过算子优化与硬件加速，实现高吞吐、低延迟稳定运行，为线上服务提供坚实保 障。生态方面，开发者已利用其能力端到端地开发出可部署上线的应 ...

Core Viewpoint - The company Zhiyu (02513) is open-sourcing the GLM-5 model weights on Hugging Face and ModelScope platforms to benefit a broader developer community, following the MIT License [1] Group 1: Model Release and Features - The GLM Coding Plan service has been upgraded to provide users with an Agentic Engineering experience, including official support for OpenClaw to facilitate quick configuration of Agent workflows [1] - The GLM-5 model is now available on Zhiyu's development platforms BigModel.cn, Z.ai, and Zhiyu Qingyan (App/web version) for user experience [1] Group 2: User Access and Limitations - Currently, due to computational limitations, only the Max user package includes the GLM-5 calling quota, with plans to gradually expand access [1] - Pro/Max users will receive a limited gift of AutoGLM*OpenClaw, enabling integration of cloud AI assistants with platforms like Feishu for intelligent automated task execution [1]

为了惠及更广泛的开发者社区，智谱(02513)即日起在Hugging Face与ModelScope平台同步开源GLM-5模 型权重，遵循MIT License。 与此同时，GLM Coding Plan服务也同步升级，为用户带来Agentic Engineering体验。新能力包括官方适 配OpenClaw，支持快速配置Agent工作流;并为Pro/Max用户限量赠送AutoGLM*OpenClaw，支持将云端 AI助手接入飞书等平台，实现智能自动化任务执行。 目前，GLM-5模型已上线智谱开发平台BigModel.cn、Z.ai及智谱清言(App/网页端)，可供用户体验。需 要注意的是，由于算力限制，当前仅Max用户套餐中包含GLM-5调用额度，官方表示将逐步扩大开放范 围。 ...

Group 1 - The core announcement is that Zhiyu has launched and open-sourced GLM-5, which aligns in programming capabilities with Claude Opus 4.5 [2] - GLM-5 achieved state-of-the-art (SOTA) scores in mainstream benchmark tests, specifically scoring 77.8 in SWE-bench-Verified and 56.2 in Terminal Bench 2.0 [2] - The performance of GLM-5 surpasses that of Gemini 3 Pro, indicating a competitive edge in the market [2]

Core Insights - The article highlights the launch of the new flagship model GLM-5 by Zhiyuan (02513), which is designed to handle complex system engineering and long-range agent tasks, showcasing state-of-the-art (SOTA) capabilities in agentic engineering, comparable to Claude Opus4.5 [1] Group 1: Model Capabilities - GLM-5 represents a shift in the AGI industry from "Vibe Coding" to "Agentic Engineering," evolving model capabilities from simple dialogue and rapid prototyping to autonomously solving real-world long-range system engineering challenges [1] - The model features a parameter scale expanded to 744 billion and pre-training data increased to 28.5 trillion [1] Group 2: Technical Innovations - GLM-5 incorporates a new asynchronous reinforcement learning infrastructure called "Slime," aimed at maximizing the model's potential [1] - The model integrates a sparse attention mechanism for improved long-text performance while significantly reducing deployment costs [1] Group 3: Benchmark Performance - In benchmark tests, GLM-5 achieved programming capabilities aligned with Claude Opus4.5, scoring 77.8 in SWE-bench-Verified and 56.2 in Terminal Bench2.0, marking the highest scores among open-source models and outperforming Gemini3Pro [1] Group 4: Agent Capabilities - GLM-5 also demonstrates open-source SOTA agent capabilities, achieving the top performance in BrowseComp (networked retrieval and information understanding), MCP-Atlas (tool invocation and multi-step task execution), and τ-Bench (planning and execution in complex multi-tool scenarios) [2]

Core Insights - The article highlights the launch of the new flagship model GLM-5 by Zhipu, which is designed to perform complex system engineering and long-range agent tasks, showcasing state-of-the-art (SOTA) capabilities in agentic engineering, comparable to Claude Opus 4.5 [1] Group 1: Model Capabilities - GLM-5 represents a shift in the AGI industry from "Vibe Coding" to "Agentic Engineering," evolving from simple dialogue and rapid prototyping to autonomously solving real-world long-range system engineering challenges [1] - The model features significant technical advancements, including an expanded parameter scale of 744 billion and pre-training data of 28.5 trillion [1] - A new asynchronous reinforcement learning infrastructure called "Slime" has been developed to maximize the model's potential, along with the first integration of a sparse attention mechanism that reduces deployment costs while maintaining long text performance [1] Group 2: Benchmark Performance - In benchmark tests, GLM-5 achieved programming capabilities aligned with Claude Opus 4.5, scoring 77.8 and 56.2 in SWE-bench-Verified and Terminal Bench 2.0 respectively, marking the highest scores among open-source models and outperforming Gemini 3 Pro [1] - GLM-5 also demonstrates open-source SOTA agent capabilities, achieving top performance in BrowseComp (networked retrieval and information understanding), MCP-Atlas (tool invocation and multi-step task execution), and τ²-Bench (planning and execution in complex multi-tool scenarios) [2]

2月12日凌晨，智谱正式开源发布新一代基座模型GLM-5，被誉为智能体工程时代最强开源模型。它宣 告大模型编程从"写代码片段"的Vibe Coding时代，正式迈入"完成系统工程"的智能体工程时代。 此前，学界与业界已达成共识，Agentic Engineering（智能体工程）时代已经到来。 智谱GLM-5有望成 为国内第一个真正对齐Anthropic Opus系列的模型厂商。 GLM-5的突破性体现在三大维度： 1. 性能对标顶级闭源模型：在权威编程基准测试中取得开源模型最高分，在真实编程场景中的体验已逼 近当前顶尖的Claude Opus 4.5，尤其在处理复杂系统工程与长周期项目上表现出色。 2. 核心技术全面升级：模型底座参数规模达744B，并创新性地采用异步强化学习框架"Slime"和稀疏注 意力机制，在提升智能的同时大幅降低了部署成本。 3. 重塑开发工作流：随模型同步推出的ZCode工具，允许开发者用自然语言描述需求，模型即可自动拆 解任务，指挥多智能体并发完成编码、调试、预览等全流程，甚至支持用手机远程指挥桌面端Agent， 将生产力无限延伸。 ...

2月12日，智谱通过官微宣布上线并开源GLM-5。目前，GLM-5已完成与华为昇腾、摩尔线程、寒武 纪、昆仑芯、沐曦、燧原、海光等算力平台的深度推理适配。即日起，GLM-5在Hugging Face与 ModelScope平台同步开源，模型权重遵循MIT License。GLM-5已经纳入Max用户套餐，Pro将尽快在5 天内支持，接下来我们将逐步扩大范围。同时，智谱也确认此前在OpenRouter市场上发布的开源模型 Pony，即为GLM-5，"在OpenRouter匿名（Pony）上线后，许多开发者使用GLM-5完成了真正能用、能 玩、能上线的应用"。 ...