GLM 5.2

Model ID: vllm/release/glm-5-2 Z.AI (Zhipu) Experimental

EU AI Act

Attribute	Value
Classification	GPAI (General-Purpose AI Model)
Risk class	Limited Risk (Article 52)
Transparency obligation	Yes
noris role	Deployer

As a GPAI model with systemic-risk potential, this model falls within the scope of EU AI Act transparency obligations. noris acts as the deployer and ensures the required information is made available pursuant to Article 53.

Technical Specifications

Property	Value
Model name	GLM 5.2
Provider	Z.AI (Zhipu)
Model ID	vllm/release/glm-5-2
Parameters	~753B (MoE)
Architecture	MoE with IndexShare (2.9× FLOPs reduction at 1M context)
Context length	1,000,000 tokens
Modalities	Text (EN, ZH)
License	MIT

Recommended Use Cases

• Long-horizon tasks
• Complex coding tasks
• Deep reasoning
• Large document analysis

Known Limitations

Caution

• Very large model (high latency): due to its size, inference is more latency-heavy than smaller models.
• Primarily EN/ZH: performance is mainly optimized for English and Chinese.
• Experimental tier (2-week deprecation notice): this model may be deprecated with as little as two weeks’ notice.

Risk Assessment (EU AI Act)

Risk Factor	Category	Level
Model size	Deepfake potential	Medium
Open source (MIT)	Misuse potential	Low
Environmental impact	Model size (753B)	Medium-high
Experimental tier	Deprecation notice	Short deprecation window flagged

Training Data & Sustainability

Training data: publicly available in the technical report (arXiv: 2602.15763).

Sustainability:

Metric	Value
CO₂	High (753B model), specific figures not published
Optimization	IndexShare reduces FLOPs by 2.9× on long contexts

Original Sources

• HuggingFace: https://huggingface.co/zai-org/GLM-5.2
• License: MIT License
• Technical report: https://arxiv.org/abs/2602.15763

Model card created on July 2, 2026. This model card serves EU AI Act transparency purposes (Regulation (EU) 2024/1689). The information is based on publicly available data from the model provider.