GLM 4.5V

GLM 4.5V – Vision-Language Mixture-of-Experts Model

GLM 4.5V is Z.AI's (Zhipu AI) 106B-parameter vision-language model (based on GLM-4.5-Air) that combines a sparse MoE language decoder with a pretrained vision encoder to support high-fidelity multimodal reasoning, document understanding, and GUI-agent workflows. It explicitly documents a thinking mode switch to trade deeper chain-of-thought style reasoning for latency and cost savings.

Defining Capabilities

• Thinking Mode Toggle: Documented request-level control to enable deep reasoning (chain-of-thought style) or a fast non-thinking path for low-latency replies.
• Multimodal Grounding: Directly grounds visual inputs into reasoning chains and structured outputs (e.g., bounding boxes, UI component identification) without intermediate OCR-only steps.
• Document & GUI Understanding: Trained for long-document parsing, chart/table interpretation, and pixel-accurate frontend replication from screenshots, supporting iterative visual edits and code generation for UIs.

Deployment & Usage

GLM 4.5V is available as an open model on Hugging Face (zai-org/GLM-4.5V) and is supported by inference toolchains (vLLM, Megatron Bridge) with FP8/BF16 runtimes; a smaller Flash variant is provided for low-latency or local deployment scenarios.