Guide
OpenClaw + GLM 5.2: Deploy Zhipu AI's Newest Flagship
GLM 5.2 is Zhipu AI's (Z.AI) newest GLM-5-series flagship, succeeding GLM-4.6. It ships as part of the July 2026 wave of Chinese open-weight trillion-scale MoE models alongside Kimi K3 and DeepSeek V4 — and it deploys on OpenClaw through OpenRouter or a direct Z.AI key.
What Is GLM 5.2?
GLM 5.2 is the latest release in Zhipu AI's GLM-5 series, the successor to GLM-4.6. It lands alongside Kimi K3 and DeepSeek V4 Pro in a July 2026 wave of Chinese open-weight trillion-scale mixture-of-experts models, and it is one of the cheapest models near the frontier on cost per token.
For an OpenClaw bot, GLM 5.2 is a strong default when the workload is Chinese-language heavy, tool-call heavy, or cost-sensitive — and a reasonable fallback for general agent work when you don't need the very top of the benchmark charts.
What's New vs GLM-4.6
GLM 5.2 replaces GLM-4.6 as Zhipu AI's flagship. It carries forward the GLM-5 series' jump over the GLM-4 line — stronger Chinese-language understanding and generation, more reliable multi-step tool calling for agent loops, and a longer usable context window — while extending those gains further as the newest release in the lineup. For exact release notes and benchmark methodology, check Zhipu AI's official docs, since model cards change on every release.
GLM 5.2 Benchmarks and Cost
On the Artificial Analysis Intelligence Index, GLM 5.2 scores around 51, versus roughly 57 for Kimi K3 and about 60 for Claude Fable 5. GLM 5.2 isn't chasing the top of that chart — its case is cost. Listed API pricing runs around $1.40 per million input tokens and $4.40 per million output tokens, making it one of the cheapest near-frontier models available. Pricing on these models moves often, so confirm the current rate on Zhipu AI's official pricing page or OpenRouter's model list before you commit to a workload.
GLM 5.2 vs Kimi K3 vs DeepSeek V4
| Model | Best for | Strengths |
|---|---|---|
| GLM 5.2 | Chinese-language agents, cost-sensitive tool-calling workloads | Strong Chinese ability, among the cheapest near-frontier models |
| Kimi K3 | Long-document work, higher-end reasoning | Higher Artificial Analysis Intelligence Index score than GLM 5.2 |
| DeepSeek V4 Pro | Coding, math-heavy reasoning | Trillion-scale MoE tuned for deep reasoning tasks |
Pick GLM 5.2 when the bot serves Chinese-speaking users, leans on tool calling, or needs to keep per-token cost low at volume. Reach for Kimi K3 when a task needs more headroom on the intelligence benchmarks, and DeepSeek V4 when the workload is coding- or math-heavy. All three route through the same OpenRouter key, so switching is a model-ID change, not a redeploy.
How to Deploy GLM 5.2 with OpenClaw Launch
GLM 5.2 is brand new, so you run it through OpenRouter with your own key (BYOK) rather than the curated one-click models. It still deploys in about 30 seconds:
- Go to openclawlaunch.com and open the configurator.
- Add your OpenRouter key in the BYOK settings, or bring a direct Z.AI API key.
- In the model dropdown, choose Custom model and enter
z-ai/glm-5.2— confirm the exact slug on openrouter.ai/models since OpenRouter model IDs shift between releases. - Pick your chat platform (Telegram, Discord, WhatsApp, WeChat, or browser gateway) and click Deploy. Your GLM 5.2 agent is live in about 30 seconds.
/model chat command — no redeploy needed. A common pattern is GLM 5.2 for high-volume Chinese-language chat and a bigger model for the occasional hard reasoning task.Self-Hosted Configuration
If you run OpenClaw on your own server, configure OpenRouter as a provider in your openclaw.json and point the default agent at GLM 5.2:
{
"models": {
"providers": {
"openrouter": {
"apiKey": "sk-or-..."
}
}
},
"agents": {
"defaults": {
"model": {
"primary": "openrouter/z-ai/glm-5.2"
}
}
}
}Check OpenRouter's model list for the current GLM 5.2 slug before deploying — provider model IDs are not stable across releases. Grab an OpenRouter key at openrouter.ai/keys.
BYOK with GLM 5.2
If you already have an OpenRouter account or a direct Z.AI API key, bring it to OpenClaw Launch via BYOK. In the configurator, select BYOK and paste your key — all requests route through your key and your own billing.
What's Next?
- OpenClaw + GLM (GLM-4 / GLM-5) — the general GLM guide covering the wider GLM-4/GLM-5 lineup
- Hermes + GLM — run GLM models on Hermes agent instead of OpenClaw
- OpenClaw + Kimi K3 — how GLM 5.2 compares against Kimi K3
- OpenClaw + DeepSeek V4 — the coding- and math-focused alternative
- OpenRouter setup guide — full walkthrough for configuring OpenRouter with OpenClaw
- GLM 5.2 vs Claude Fable 5 — a closer look at the benchmark and cost gap
- Compare all models — see how GLM 5.2 stacks up against Claude, GPT, Gemini, Kimi, and DeepSeek
- 中文版：GLM 5.2 完整指南 — the Chinese-language version of this guide