OneIG-Bench
Image models generate images from prompts with English and Chinese evaluation splits.
GLM-Image reports English and Chinese overall scores in its official model card.
- Made by
- Z.ai
- Released
- January 2026
- Kind
- Image generation and editing
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Open-ended
- Last in a launch post
- January 2026, dropped before it saturated
- Last model added
- January 2026
GLM-Image leads with 0.53
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 GLM-Image 0.53
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-Image | 0.53 | Jan 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in January 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Jan 14, 2026 | GLM-Image | 0.528 | OneIG-Bench EN overall 0.528, ZH overall 0.511 |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jan 14, 2026 | GLM-Image model card | 0.528 | OneIG-Bench EN overall 0.528, ZH overall 0.511 | Capabilities |
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