Z.ai · Text

OpenClaw x GLM

GLM models from Z.ai are MIT-licensed MoE LLMs spanning 128K–200K context. GLM-5.1 leads open-weight models on SWE-bench Pro. Through RunAPI they share a single API key with pay-as-you-go token billing, callable from the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages surfaces.

9 variants from $0.10 / 1M tokens Commercial OK
Get API Key View OpenClaw Docs

Prerequisite: npx runapi mcp install

Prompt

Prompt models

Use glm-4.5 when it matches the task: 355B / 32B active; 128K context; flagship open-weight MoE baseline.

You have access to RunAPI chat models for GLM.

Available GLM models:
- glm-4.5: 355B / 32B active; 128K context; flagship open-weight MoE baseline
  chat endpoints: /v1/chat/completions
- glm-4.5-air: Lighter GLM-4.5 tier for fast, lower-cost everyday work
  chat endpoints: /v1/chat/completions
- glm-4.6: 200K context; first GLM on Cambricon chips; sharper code generation
  chat endpoints: /v1/chat/completions
- glm-4.7: 200K context; 73.8% SWE-bench; persistent thinking across turns
  chat endpoints: /v1/chat/completions
- glm-5: 744B / 40B active; 200K context; 77.8% SWE-bench Verified
  chat endpoints: /v1/chat/completions
- glm-5-turbo: Speed-optimized GLM-5 tier for lower latency
  chat endpoints: /v1/chat/completions
- glm-5.1: 754B / 40B active; 58.4% SWE-bench Pro — top open-weight score
  chat endpoints: /v1/chat/completions
- glm-5.2: Current flagship foundation model for text generation
  chat endpoints: /v1/chat/completions
- glm-5.3: Latest GLM text model for OpenAI-compatible Chat Completions
  chat endpoints: /v1/chat/completions

Use the model ID and chat endpoint that match the user's request.
Example request: Read this multi-file repository, find the failing integration test, and propose a patch with an explanation of the root cause.
Verify the active model with: openclaw models status;openclaw models set runapi/<model-id>

Public Versions and Endpoints

Model ID Endpoints Price Catalog
glm-4.5
/v1/chat/completions
$0.41 / 1M tokens Model detail
glm-4.5-air
/v1/chat/completions
$0.10 / 1M tokens Model detail
glm-4.6
/v1/chat/completions
$0.60 / 1M tokens Model detail
glm-4.7
/v1/chat/completions
$0.60 / 1M tokens Model detail
glm-5
/v1/chat/completions
$1.00 / 1M tokens Model detail
glm-5-turbo
/v1/chat/completions
$1.20 / 1M tokens Model detail
glm-5.1
/v1/chat/completions
$1.40 / 1M tokens Model detail
glm-5.2
/v1/chat/completions
$0.70 / 1M tokens Model detail
glm-5.3
/v1/chat/completions
$1.40 / 1M tokens Model detail

Verify

Poll until the task reaches a terminal status

Select <model-id> to generate verification commands.

Configuration

Guide endpoint: <endpoint>

Select <model-id> to generate a request with the endpoint's public input contract.
How it works

Get Started in 3 Steps

  1. Choose a model ID

    Select a public catalog model ID and review its endpoint and current starting price.

  2. Configure RunAPI

    Add the provider configuration for this agent.

  3. Verify the result

    Run the agent status and model-selection commands shown below.

What to Build with OpenClaw + GLM

  • Product Demo Videos

    Generate 5–10 second product animations from text descriptions. Ideal for e-commerce listings and social ads.

  • AI Avatar Content

    Create talking-head videos with lip-synced avatars for training materials, customer support, and marketing.

  • Batch Video Production

    Queue hundreds of video generations and collect results through webhook delivery.

Why Use GLM Through RunAPI + OpenClaw

  • 9 variants, one API key

    Use one RunAPI connection to choose among the live model variants without changing your integration.

  • Clear usage pricing

    See current catalog pricing before you send a request, with no subscription or minimum spend required.

  • Automatic task workflows

    Submit, poll, and collect asynchronous results through a consistent task workflow without writing manual polling code.

OpenClaw + GLM Questions

Which model ID should I use?

Choose a public model ID from the version table. Each ID exposes the endpoints shown for that version.

Does this guide configure a chat model?

Yes. This Model Line supports a client-facing LLM protocol.

Start using GLM with OpenClaw

Get API Key Read Quickstart

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