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GLM-4.5V

Multimodal modelGLM-VGLM-4.5V

GLM-4.5V

Release date: 2025-08-11Updated: 2026-06-14Views: 792
Parameters
106B
Context length
64K
Multilingual
Supported
Reasoning ability
3/5

GLM-4.5V is an AI model published by Zhipu AI, released on 2025-08-11, for Multimodal model, with 106B parameters, and 64K context length, requiring about 312GB storage.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

GLM-4.5V

Model basics

Reasoning traces
Supported
Thinking modes
Standard Mode (Default)Thinking Mode
Context length
64K tokens
Max output length
64K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image, Video → Text
Release date
2025-08-11
Model file size
312GB
MoE architecture
Yes
Total params / Active params
106B / 12B
Knowledge cutoff
No data
GLM-4.5V

Open source & experience

Code license
Weights license
MIT License- Commercial use permitted
Live demo
GLM-4.5V

Official resources

Paper
DataLearnerAI blog
N/A
GLM-4.5V

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
TypeConditionInputOutput
Text-¥2.00/ 1M tokens¥6.00/ 1M tokens
Image-¥2.00/ 1M tokens
Cache PricingPrompt Cache
TypeTTLWriteRead
Text-¥0.0000/ 1M tokens¥1.00/ 1M tokens
Text-¥0.0000/ 1M tokens
Cache = write
Text-¥1.00/ 1M tokens
Cache = hit
Image-¥0.0000/ 1M tokens
Cache = write
Image-¥1.00/ 1M tokens
Cache = hit

“—” means the modality is not billed in that direction, or the vendor has not published a price for it.

GLM-4.5V

Publisher

GLM-4.5V

Model Overview

GLM-4.5V is an AI model published by Zhipu AI, released on 2025-08-11, for Multimodal model, with 106B parameters, and 64K context length, requiring about 312GB storage.

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