OpenClaw GLM Setup: ChatGLM Models Configuration Guide

ChatGLM is developed by Zhipu AI, a spinoff from Tsinghua University and one of China's most prominent AI labs. GLM models are the leading choice for Chinese-language AI tasks and offer strong bilingual Chinese-English capabilities. This guide covers connecting GLM to OpenClaw for operators who need bilingual assistant workflows.

What Is ChatGLM and Why Use It With OpenClaw?

Zhipu AI's GLM family is built from the ground up for Chinese language understanding and generation. While Western models like Claude and GPT handle Chinese reasonably well, they are primarily optimized for English. GLM models are natively bilingual, meaning they handle Chinese idioms, formal business Chinese, and Chinese-English code-switching with higher accuracy.

For OpenClaw operators working with Chinese-speaking teams, serving Chinese-speaking clients, or operating in markets like China, Taiwan, Hong Kong, or Singapore, GLM provides noticeably better results for Chinese-language tasks. Translation between Chinese and English is particularly strong.

GLM-4, the latest generation, also includes vision capabilities and tool-use support, making it a full-featured model for OpenClaw assistant workflows beyond just text generation.

How Do You Get Zhipu AI API Access?

Create an account at open.bigmodel.cn (Zhipu AI's developer platform). Generate an API key, add credits, and note the endpoint URL. International access is available, though you may need to verify your identity during registration.

Alternatively, access GLM models through OpenRouter without creating a separate Zhipu AI account. OpenRouter handles the authentication and provides a unified billing experience.

How Do You Configure OpenClaw for GLM?

For direct Zhipu AI API access:

{
 "llm": {
 "provider": "openai-compatible",
 "base_url": "https://open.bigmodel.cn/api/paas/v4",
 "api_key": "${ZHIPU_API_KEY}",
 "model": "glm-4"
 }
}

For access through OpenRouter:

{
 "llm": {
 "provider": "openai-compatible",
 "base_url": "https://openrouter.ai/api/v1",
 "api_key": "${OPENROUTER_API_KEY}",
 "model": "zhipu/glm-4"
 }
}

Set the appropriate environment variable and restart OpenClaw. Test with a bilingual prompt: "Summarize this email in both English and Chinese" to confirm proper character handling.

Which GLM Model Should You Choose?

For most bilingual OpenClaw deployments, GLM-4 is the right choice. It handles both Chinese and English assistant tasks well. Use GLM-4-Flash for high-frequency, simple queries where speed matters more than depth.

How Do You Set Up Bilingual Workflows?

The most effective bilingual OpenClaw setup uses GLM for Chinese-language tasks and Claude or GPT for English tasks. Configure multi-model routing based on detected language or explicit task type.

Common bilingual workflow patterns include receiving WhatsApp messages in Chinese and responding in Chinese using GLM, translating client communications between Chinese and English, generating Chinese social media content from English briefs, and processing Chinese-language documents for English-speaking executives.

For teams that switch between languages frequently, you can set GLM as the default model and let it handle both languages. Its English quality is good enough for most assistant tasks, and its Chinese quality is superior to Western models.

Ready to Add Bilingual AI to Your OpenClaw Setup?

We configure GLM integrations for bilingual teams as part of managed OpenClaw deployments. Get Chinese-English workflows running smoothly in a single session.

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*Last updated: March 2026. Published by the Remote OpenClaw team at remoteopenclaw.com.*