GLM-Image
by Z.ai (Zhipu AI)Image generation
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.
- Context
- 10.2K tokens
- Parameters
- 6.9B total
- Released
- 2026-01-19
- Weights
- Open
- Licence
- mit
zhipuai/glm-image · also seen as z-ai/glm-image
Specifications
Full facts as recorded, incl. what is unknown.
- Released
- 2026-01-19
- Weights
- Opennot gated
- License
- mit
- Input
- Text
- Output
- Image
- Context window
- 10,240 max across endpoints
- Max output
- Providers
- 0 + 1 gateway, not counted as providers
- Epoch Capabilities Index
- not evaluated
- Direct price range
- no comparable direct price
More details
- Last updated
- 2026-01-19
- Knowledge cutoff
- Weights link
- Hugging Face · zai-org/GLM-Image
- Parameters
- 6.9B total
Capabilities
Across all endpoints: supported if any endpoint supports it.
- Tool calling
- Parallel toolsunknown
- Structured outputunknown
- Reasoning
- Image input
- PDF input
- Audio input
- Audio outputunknown
- Video input
- Prompt cachingunknown
- Web searchunknown
- Computer useunknown
- System messagesunknown
- Assistant prefillunknown
- Temperature
- Streamingunknown
- Attachments
Endpoints
One row per provider and variant; gateways are listed separately.
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