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ChatGLM (智谱清言)

ChatGLM (智谱清言)

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The premier conversational AI workspace powered by Z.ai's flagship GLM-5 model. Featuring an advanced "Agent Mode" and a massive 200,000-token memory, it functions as an autonomous assistant that instantly transforms text prompts into presentation slides, functional application code blocks, and fully formatted spreadsheets (.xlsx), PDFs, and document packages cleanly.

4.5 (Elite Score)
Free Tier • Premium Plans Available
Evaluated by AIStacksHub Editorial Team • Jul 12, 2026
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Overview of ChatGLM (智谱清言)

The premier conversational AI workspace powered by Z.ai's flagship GLM-5 model. Featuring an advanced "Agent Mode" and a massive 200,000-token memory, it functions as an autonomous assistant that instantly transforms text prompts into presentation slides, functional application code blocks, and fully formatted spreadsheets (.xlsx), PDFs, and document packages cleanly.

Category Standard Features

Natural Language Processing

Foundational feature in general-ai.

Complex Data Analysis

Foundational feature in general-ai.

Multimodal Understanding

Foundational feature in general-ai.

Conversational Memory

Foundational feature in general-ai.

AIStacksHub Vetting & Evaluation Report

Testing Methodology

We tested ChatGLM (智谱清言) across a battery of text generation, logical reasoning, and factual retrieval tests. Our editorial team evaluated how well the system follows complex multi-turn prompts, handles long documents within its context window, and prevents logical hallucinations. We also benchmarked its operational speeds during high-traffic periods to ensure output consistency.

Ideal Use Cases & Target Audience

Ideal for knowledge workers, content editors, business analysts, and researchers who require a versatile assistant for drafting copy, synthesizing long reports, coding assistance, and brainstorming strategic initiatives.

Data Security & Privacy Considerations

Since general assistants handle sensitive company emails and proprietary data, it is critical to configure privacy settings. Ensure that the 'train on my data' toggle is disabled or use API endpoints that guarantee data confidentiality.

AIStacksHub Evaluation Methodology

Evaluated based on functional validity, privacy, and price-to-value ratio.

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