Benchmark Almanac

DPG-Bench

Janus-Pro-7B 84.2% Dropped

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.

Made by Tencent (ELLA authors, Hu et al.) Released Mar 2024 Image generation and editing All tasks public Last in a launch post Jan 2025 , dropped before it saturated Last model added Jan 2025
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.
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

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. 1 Janus-Pro-7B 84.2%
#ModelScoreSettingDateSource
1 Janus-Pro-7B 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.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Janus-Pro-7B 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) Janus-Pro-7B

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.

DeepSeek
DateLaunch postScoreAs the post writes it
27 Jan 2025 Janus-Pro-7B 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.

DateDocumentScoreAs the document writes itSection
27 Jan 2025 Janus-Pro-7B technical report 84.2 DPG-Bench Overall (Table 5) Capabilities

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