GLM-Image
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.
- Organization
- Zhipu AI
- Family
- —
- Providers
- 1
- Context
- 10,240
- Output limit
- 0
- Knowledge
- —
- Release
- 2026-01-19
- Updated
- 2026-01-19
- Weights
- Open
- Input
- text, image
- Output
- image
- Capabilities
- —
Providers
Compare every cataloged offer for this model, including its provider, route, token limits, price, and capabilities.
| Provider | Model ID | Context | Output | Input / output · 1M | Reasoning | Tools | Structured | Details |
|---|---|---|---|---|---|---|---|---|
| ZenMux | z-ai/glm-image | 10,240 | 0 | — / — | No | No | — | View |
Prices and limits apply to each offer. A dash means the value is not provided. OpenRouter offers show the hosting provider and routing channel separately.
Pricing
Compare token rates and cache charges across available routes and hosting configurations.
Lowest listed input and output prices across the offers above; they may belong to different providers. These are base rates, before conditional pricing, discounts or additional fees.
Frequently asked questions
Answers based on the model metadata and serving offers currently in the catalog.
How much does GLM-Image cost?
Listed rates start at — per million input tokens and — per million output tokens. Prices vary by provider and configuration; see Pricing for details.
Which providers offer GLM-Image?
There are 1 cataloged offers across 1 providers. Compare model IDs, prices and limits in Providers.
What is the context window?
The cataloged model context is 10,240 tokens. Each serving endpoint may apply a different limit.
Does it support tools and structured output?
Tool calling: No. Structured output: Not reported. Support can vary by endpoint.
Resources
MITCatalog history · 1 recorded revision
Metadata observations since this model was first cataloged. These are not model release versions.
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