Zhipu AI
19 Canonical ModelsZhipu AI foundation models, inference API endpoints, and pricing.
Models by Zhipu AI
Specifications, context windows, and pricing for Zhipu AI models
Flagship GLM model for long-horizon coding, agents, and complex project delivery
Native multimodal GLM model for efficient coding and long-horizon agent tasks
Open flagship GLM for long-horizon coding agents and million-token context work
Late GLM-4 workhorse for coding agents, reasoning, and structured tasks
Mature GLM model for dependable coding, reasoning, and structured agent tasks
General GLM flagship for coding, analysis, and tool-heavy engineering workflows
Fast GLM vision model for screenshots, documents, and multimodal agent tasks
Strong GLM coding model for agentic engineering, terminals, and repository generation
Faster GLM-5 lane for coding agents that need lower latency
Efficient GLM model for fast reasoning, coding, and agent workflows
Budget GLM lane for fast coding help, routing, and everyday automation
Hybrid-reasoning GLM release that made the 4.5 line broadly useful
Efficient GLM model for fast reasoning, coding, and agent workflows
Lighter GLM-4.5 variant for fast coding assistance and cheaper agents
Lightweight GLM vision model for visual reasoning, documents, and multimodal agents
GLM vision model for visual reasoning, documents, and multimodal agents
Multilingual visual model for operating smartphone interfaces and mobile agents
GLM vision model for visual reasoning, documents, and multimodal agents
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.