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GLM‑4.5

GLM‑4.5 AI Agent
Rating:
(5 / 5 from 1 ratings)

Overview

GLM-4.5 is a family of open-weight foundation models with coding, reasoning and tool-call capabilities.

GLM-4.5 is a family of open-weight foundation models with coding, reasoning and tool-call capabilities.

The model supports coding and tool-call generation, but execution requires an external harness.

Local deployment requires substantial inference infrastructure and compatible parsers; provider access is a separate option.

The GLM-4.5 model release describes MIT terms, while hardware or hosted inference costs remain significant and separate.

Use it inside an application or agent harness. The model itself does not install tools, authorize actions or run an independent workplace workflow.

Product overview

Capabilities, pricing and fit

GLM‑4.5 is best understood as an agentic reasoning and coding model rather than a complete agent. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

Information as of July 30, 2026

What it can do

  • AI infrastructure

    GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.[1]

Where it fits best

  • Building AI agents with deep reasoning, function/tool calling, and software development capabilities.[1]

Pricing and availability

Access: Source repository[1]

Sources (1)
  1. GitHub - zai-org/GLM-4.5: GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models · GitHubGitHub · checked 2026-07-30

Autonomy level

18/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: GLM-4.5 generates text, code and proposed tool calls as a foundation model. A separately configured application supplies tools, executes actions and manages recurring work. People operate that harness and approve consequential results; the model by itself does not independently browse, edit files or execute a project.

Comparisons


Custom Comparisons

Some of the use cases of GLM‑4.5:

  • Building AI agents with deep reasoning, function/tool calling, and software development capabilities.
  • Deploying large‑context workflows (up to 128 K tokens) for agentic tasks like browsing or planning.
  • Running efficient, open‑source foundation models for coding, logic, and multi‑step agent applications.
  • Experimenting with state‑of‑the‑art open LLMs on par with Claude and GPT‑4 series in many benchmarks.

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Popularity level: 79%

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Make it work for you

Describe the job. Get an AI worker you can actually message.

We create the setup, keep it running after your laptop closes, and save its memory. Test in the browser, then add Telegram, WhatsApp, or Slack.

Runs without your laptopBrowser + messaging appsCredits, keys, or subscriptionsMemory survives restarts

Plans from $130/month. Cancel anytime.

Hosted agent

OpenClaw or Hermes

saved state
Browser
WhatsApp
Telegram
Slack
“I checked the inbox, handled the routine messages, and sent you the one question that needs a decision.”
Create an AI worker that keeps running after this tab closes.
Open Agent Teams

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