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.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
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%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 84.2% | Jan 2025 | Model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No launch post has listed it since Jan 2025
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 |
|---|---|---|---|
| 27 Jan 2025 | 84.2 | DPG-Bench Overall |
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 |
|---|---|---|---|---|
| 27 Jan 2025 | | 84.2 | DPG-Bench Overall (Table 5) | Capabilities |
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