DPG-Bench
Text-to-image models draw 1,000 dense prompts with many objects, attributes and relations. A VQA model checks each element of the prompt graph in the image.
Filed under the generation subcategory used for GenEval. The overall score averages over prompt elements.
- Released
- March 2024
- Kind
- Image generation and editing
- Level
- Everyday
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- All public
- Last in a launch post
- January 2026, dropped before it saturated
- Last model added
- January 2026
Janus-Pro-7B leads with 84.2%
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
Janus-Pro-7B 84.2%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 84.2% | Jan 2025 | 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 | 84.8 | DPG-Bench overall 84.78 |
| Jan 27, 2025 | 84.2 | DPG-Bench Overall |
2 system cards report it, from 2 labs
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 | 84.8 | DPG-Bench overall 84.78 | Capabilities |
| Jan 27, 2025 | | 84.2 | DPG-Bench Overall (Table 5) | Capabilities |
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