Using GLM-5.2 on Z.ai

Implementation guide · GLM-5 · Zhipu AI

ServerlessOpen Source

Z.ai exposes GLM-5.2 through model ID glm-5.2. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-08. Next refresh: weekly.

Quick Start

1
Create an account at Z.ai and generate an API key.
2
Use the Z.ai SDK or REST API to call glm-5.2 — see the documentation for request format.
3
You'll be billed $1.40/1M input, $4.40/1M output tokens. See full pricing.

API Portal Documentation Pricing

Code Examples

See Z.ai documentation for integration details.

Pricing on Z.ai

Type	Price (per 1M)
Input tokens	$1.40
Output tokens	$4.40

Capabilities

ReasoningJSON / Tool useStructured OutputsCode Execution

About GLM-5.2

GLM-5.2 is Z.ai's coding-first successor to GLM-5.1 in the GLM-5 family, released June 13 2026. 753B parameters (40B active) in IndexShare MoE architecture; the IndexShare innovation reuses the same attention indexer across every four sparse layers, cutting per-token FLOPs by 2.9x at 1M context length. Trained on 28.5T tokens. Supports a 1M-token context window via the glm-5.2[1m] model ID, with 131,072-token maximum output and High/Max thinking-effort levels designed for extended agentic coding sessions. MIT license; open weights available on Hugging Face (zai-org/GLM-5.2 and zai-org/GLM-5.2-FP8).

Full model details →

Model Specs

Released2026-06-13

Parameters753B total, 40B active

Context1M

ArchitectureMixture of Experts