GLM Image Models by Zhipu AI
1 model2026
Details
ResearcherZhipu AI
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models1
Released2026
Capabilities
MultimodalAll models
Links
WebsiteAbout
Zhipu AI's (Z.ai) flagship image generation family using a hybrid 16B architecture: a 9B autoregressive language model combined with a 7B diffusion decoder. Pioneered precise Chinese and English text rendering in AI-generated images. The first open-source multimodal image model trained entirely on Huawei Ascend hardware.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
1 in view
GLM ImageCurrent
Use when the workload needs image generation, 16B parameters, and multimodal inputs.
2026-01image generation16B parametersmultimodal inputs
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| GLM Image | Use when the workload needs image generation, 16B parameters, and multimodal inputs. | 2026-01 | image generation16B parametersmultimodal inputs | Current |
Release Timeline
1 release group2026-01
1 current
GLM Image
Currentimage generation16B parametersmultimodal inputs
Specifications(1 models)
| Model | Released | Parameters | Multimodal |
|---|---|---|---|
| GLM Image | 2026-01 | 16B | Yes |
Frequently Asked Questions
- What is GLM Image used for?
- GLM Image is used for image generation, vision and multimodal work, and coding. The family description and listed model capabilities point to those workloads as the best fit.
- How does GLM Image compare to GLM-5?
- GLM Image by Zhipu AI is strongest where you need image generation, while GLM-5 by Zhipu AI is the closest related family to check for coding. GLM Image has 1 listed variant, while GLM-5 reaches up to 1m context, so compare the specs and pricing tables before choosing a production model.
- Which GLM Image model should I use?
- If price is the main constraint, use the pricing table first because GLM Image does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate GLM Image with multimodal inputs.
