GLM‑4.5用于代理、编码和工具使用任务的开源混合推理MoE基础模型

4.5 (6)

审阅者 Daniel Nikulshyn·更新 2026年6月

Open Source Foundation Model Mixture-of-Experts Agentic AI Long Context Tool Use Reasoning

概览

GLM-4.5 是智普 AI (Z.ai) 开发的 GLM 系列模型之一的开源大语言模型。它采用 Mixture-of-Experts (MoE) 架构和混合推理设计，允许模型在回答前“思考”或直接作答，面向具备自主性的工作流、编程和工具使用。该模型支持 128K-token 的上下文窗口，并支持原生工具调用。该模型面向正在构建 AI 代理和编码助手的开发者。它引入了“Interleaved Thinking”（交错思考），即模型在每一次回复和工具调用之前先进行推理；后续的 GLM 版本（GLM-4.6 与 GLM-4.7）在此基础上扩展了 Preserved Thinking（保留思考）和 Turn-level Thinking（回合级思考）等功能。GLM-4.5 强调代理式编码，已集成主流代理框架和编码工具，如 Claude Code、Cline、Roo Code 与 Kilo Code。 GitHub 仓库托管模型资源、推理代码和示例；权重已公开发布，支持自托管，API 通过 Z.ai API Platform 提供。仓库现在还记录了后继模型 GLM-4.6（将上下文扩展至 200K 令牌）和 GLM-4.7，并提供轻量级 30B-A3B 变体（GLM-4.7-Flash），以实现更高效部署。作为一款开放权重发布的模型，GLM-4.5 与其他面向代理和编码用例的开放模型展开竞争。它的优势体现在工具使用、推理控制和开放性方面，但在本地运行大型 MoE 模型需要相当的硬件支持，而更新的 GLM 版本已在基准测试中超越它。

主要功能

混合专家（MoE）架构
具有思考/非思考模式的混合推理
代理的原生工具调用
响应和工具调用前的交织思考
128K上下文窗口
代理编码优化

价格

模型: Free
分类: AI Model Serving Platforms
评分: 4.5 / 5 (6)

使用场景

构建自主AI代理

利用GLM-4.5的代理优化设计和工具使用能力，创建可以计划、推理和执行多步骤任务的自主代理。

长文档分析

使用128K上下文窗口在单个通道中处理和推理 lengthy 文档、代码库或转录。

混合推理工作流

将混合推理MoE架构应用于需要快速响应和逐步解决问题的工作。

自我托管的开源LLM部署

在私有基础设施上部署GLM-4.5，为需要可定制、开源基础模型并对数据具有完全控制权的组织提供服务。

优点 & 缺点

优点

可用于自我托管的开源权重
具有可控思考模式的混合推理设计
专注于代理编码和工具使用
与Claude Code和Cline等流行代理框架集成
128K-token上下文窗口

缺点

大型MoE模型需要大量硬件进行自我托管
已被新的GLM-4.6和GLM-4.7版本所取代
最佳性能通常依赖于托管的Z.ai API

评测

4.5

6 个评分的平均值。

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Devin Walker

May 18, 2026

Does the job

Pretty happy overall. The core workflow just works and it saves real time. The docs could be deeper can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Joanna Kowalski

May 11, 2026

Use it every day

Honestly didn't expect to like it this much. The integrations is exactly what I needed, and it is genuinely easy to set up. I do wish the mobile experience lags, but I reach for it almost every day now and it just clicks.

Kwame Mensah

Feb 21, 2026

Use it every day

Priya Nair

Jan 22, 2026

Solid for our team

We rolled this out across the team last quarter and it is genuinely easy to set up. The core workflow fits neatly into how we already work, and the automation removed a step we used to do by hand. but it has held up under daily use.

Mei-Ling Wong

Jun 27, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is the integrations — handled better than most — and the value for money is strong. Worth the time if this is your use case.

Daniel Schmidt

Jun 20, 2025

Solid for our team

We rolled this out across the team last quarter and support is responsive. The core workflow fits neatly into how we already work, and the core workflow removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.

问答

Is GLM-4.5 open source and free to use?

Yes, GLM-4.5 is an open-source foundation model, meaning its weights and code can be accessed and used without licensing fees, though deployment costs (e.g., compute infrastructure) still apply.

What makes GLM-4.5 suitable for intelligent agent tasks?

GLM-4.5 is a hybrid-reasoning Mixture-of-Experts (MoE) foundation model specifically optimized for agent workflows, with built-in tool use capabilities and a 128K context window for handling long, multi-step tasks.

How large is the context window in GLM-4.5?

GLM-4.5 supports a 128K token context window, allowing it to process and reason over long documents, extended conversations, or complex multi-step agent tasks within a single session.