Models

Native multimodal GLM model for efficient coding and long-horizon agent tasks

Flagship GLM model for long-horizon coding, agents, and complex project delivery

Open flagship GLM for long-horizon coding agents and million-token context work

Strong GLM coding model for agentic engineering, terminals, and repository generation

Fast GLM vision model for screenshots, documents, and multimodal agent tasks

Faster GLM-5 lane for coding agents that need lower latency

General GLM flagship for coding, analysis, and tool-heavy engineering workflows

Efficient GLM model for fast reasoning, coding, and agent workflows

Budget GLM lane for fast coding help, routing, and everyday automation

GLM-Image is an image generation model adopts a hybrid autoregressive + diffusion decoder architecture. In general image generation quality, GLM‑Image aligns with mainstream latent diffusion approaches, but it shows significant advantages in text-rendering and knowledge‑intensive generation scenarios. It performs especially well in tasks requiring precise semantic understanding and complex information expression, while maintaining strong capabilities in high‑fidelity and fine‑grained detail generation. In addition to text‑to‑image generation, GLM‑Image also supports a rich set of image‑to‑image tasks including image editing, style transfer, identity‑preserving generation, and multi‑subject consistency.

Mature GLM model for dependable coding, reasoning, and structured agent tasks

Multilingual visual model for operating smartphone interfaces and mobile agents

GLM vision model for visual reasoning, documents, and multimodal agents

Lightweight GLM vision model for visual reasoning, documents, and multimodal agents

Late GLM-4 workhorse for coding agents, reasoning, and structured tasks

GLM vision model for visual reasoning, documents, and multimodal agents

Hybrid-reasoning GLM release that made the 4.5 line broadly useful

Lighter GLM-4.5 variant for fast coding assistance and cheaper agents

Efficient GLM model for fast reasoning, coding, and agent workflows