Models Model details

Z.ai

Z.ai: GLM 4.5V

z-ai/glm-4.5v

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses. Reasoning behavior can be toggled via the `reasoning` `enabled` boolean. Learn more in our docs

Input
$0.6

/ 1M tokens

Output
$1.8

/ 1M tokens

Context window
65.54K

tokens

Limits

Context

65,536

tokens

Max output

16,384

25% of the context window

Parameters

107,710,933,120

Model facts

Author

Z.ai

Tokenizer

Other

Modality

Text + Image -> Text

License

MIT

Knowledge cutoff

2024-12-31

Created

Aug 11, 2025

Hugging Face

zai-org/GLM-4.5V

Default generation parameters

temperature

0.75

Publication status

Hugging Face: verifiedLicense: publishedParameter count: published

Modalities

Input · TextInput · ImageOutput · Text

Generation controls

Frequency penaltyInclude reasoningMax tokensPresence penaltyReasoningRepetition penaltyResponse formatSeedStopTemperatureTool choiceToolsTop kTop p

Capability scores

7.6
Intelligence index

Better than 13% of models compared