TallyQA
Models answer open-ended counting questions about images, including complex ones that need object relationships or attributes. Scored by exact count accuracy.
- Released
- October 2018
- Kind
- Spatial reasoning and counting
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- All public
- Strongest model tested
-
Gemma 3 27B #164 on the capability index
- Last in a launch post
- April 2025, dropped before it saturated
- Last model added
- April 2025
In the authors’ words
Most counting questions in visual question answering (VQA) datasets are simple and require no more than object detection. Here, we study algorithms for complex counting questions that involve relationships between objects, attribute identification, reasoning, and more. To do this, we created TallyQA, the world's largest dataset for open-ended counting. We propose a new algorithm for counting that uses relation networks with region proposals. Our method lets relation networks be efficiently used with high-resolution imagery. It yields state-of-the-art results compared to baseline and recent systems on both TallyQA and the HowMany-QA benchmark.
Amazon Nova Premier leads with 61.5% among models released by April 2025
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.
The newest model with a score here came out in April 2025, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1
Amazon Nova Premier 61.5%
- 2
Gemma 3 27B 54.3%
- 3
Gemma 3 12B 51.8%
- 4
Gemma 3 4B 42.5%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 61.5% | Apr 2025 | Lab model card | |
| 2 | | 54.3% | Mar 2025 | Lab model card | |
| 3 | | 51.8% | Mar 2025 | Lab model card | |
| 4 | | 42.5% | Mar 2025 | Lab model card |
2 models have held number one in labs’ own numbers since 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
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
No launch post has listed it since April 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 |
|---|---|---|---|
| Apr 30, 2025 | 61.5 | TallyQA | |
| Mar 12, 2025 | 54.3 | TallyQA (PT) |
4 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 |
|---|---|---|---|---|
| Apr 30, 2025 | | 61.5 | TallyQA, balanced setting, +/-9.1 (Table 1) | Capabilities |
| Mar 25, 2025 | | 42.5 | TallyQA, PT, 4-shot (Table 11) | Capabilities |
| Mar 25, 2025 | | 54.3 | TallyQA, PT, 4-shot (Table 11) | Capabilities |
| Mar 25, 2025 | | 51.8 | TallyQA, PT, 4-shot (Table 11) | Capabilities |
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