Z.AI: GLM 4.5V Vision-Language Model

Advanced vision-language processing for multimodal applications.

Input: text · image Output: text Context: 65,536 tokens Release: 2025-08-11

Discover Z.AI's GLM 4.5V, a vision-language model released in August 2025. This model excels in processing both text and images, offering a context window of up to 65,536 tokens. With its Mixture-of-Experts architecture, it supports complex tasks like video understanding, image Q&A, and document parsing. The model provides a unique hybrid inference mode, allowing users to toggle between deep reasoning and fast response modes. This flexibility makes it suitable for applications requiring both detailed analysis and quick answers.

Use Cases

Here are a few ways teams apply Z.AI: GLM 4.5V in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance video understanding tasks

Improve image question and answer systems

Streamline document parsing processes

Boost front-end web coding capabilities

Advance spatial reasoning applications

Key Features

A quick look at the capabilities that make this model useful in real projects.

106B parameters with 12B activated

Hybrid inference mode for flexibility

Supports text and image inputs

65,536 token context window

Mixture-of-Experts architecture

Specs

Overview

Vendor
z-ai

Model ID
z-ai/glm-4.5v

Release
2025-08-11

Modalities & context

Input
text · image

Output
text

Context
65,536 tokens

Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logit_bias, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p

Defaults: temperature 0.75, top_p 0.95

Benchmark tests: Z.AI: GLM 4.5V

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

AI is poised to revolutionize work, leisure, and creativity by amplifying human potential. In the workplace, it will automate repetitive tasks—freeing professionals for strategic, creative roles—and enable hyper-personalized learning, making skill development faster and more accessible. Remote collaboration tools powered by AI could foster global teamwork, while predictive analytics optimize workflows, boosting productivity without burnout. For leisure, AI-driven personalization will curate experiences—from tailored entertainment recommendations to immersive virtual adventures—that cater to individual tastes, making downtime more enriching. Smart home systems and AI companions could also reduce daily friction, allowing people to focus on relaxation. Creativity stands to gain most: AI acts as a collaborative partner, generating novel ideas, refining artistic works, or even co-creating with humans. From music composition to design, it expands possibilities, democratizing creation tools so anyone can innovate. Ultimately, AI’s greatest impact may be liberating humanity from drudgery, letting us redirect energy toward meaningful pursuits—work that fulfills, leisure that recharges, and creativity that inspires.

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Image

Prompt:

Generate an SVG of a pelican riding a bicycle.

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