Z.ai: GLM 4.5VModel25/100 via “image-to-text captioning and scene description generation”
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,...
Unique: Integrates vision encoding and language generation through a unified MoE backbone rather than separate encoder-decoder modules, allowing dynamic expert selection based on image complexity and caption requirements — enables more efficient processing than two-stage pipelines
vs others: Produces more contextually rich captions than BLIP-2 or LLaVA while maintaining lower latency than GPT-4V through sparse activation, and supports longer, more detailed descriptions than typical image captioning models