LLM Reference

GLM Image

Released
2026-01-14
Last refreshed
2026-06-15
Status
Researched 48d ago
Open sourceCommercial use: permittedMultimodalVision

GLM Image is a released vision model with open-source; evaluate it while provider pricing coverage matures.

Use it for

  • Teams evaluating vision

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Strict JSON or tool-calling flows
  • Teams that need a tracked hosted API route today
Specifications
Family
GLM Image
Released
2026-01-14
Parameters
16B
Specialization
image-generation
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Created by

Chinese AI research lab developing GLM language models.

Beijing, China
Founded 2019
Website
Pricing

No tracked provider token pricing is available yet.

About

GLM-Image by Zhipu AI (Z.ai). A 16B hybrid model combining a 9B autoregressive language model with a 7B diffusion decoder for text-to-image generation. Pioneered open-source Chinese character and structured text rendering in AI images. The first open-source image model trained entirely on Huawei Ascend hardware. Achieves 91.16% word accuracy on CVTG-2K. Open source, $0.015 per image via Z.ai API.

GLM Image is an open-source model. The structured metadata tracks multimodal input. No headline benchmark score is tracked for GLM Image yet.

Top use-case fit

Vision

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

Multimodal

Benchmark peer barsfor Vision

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.