BloomBench - English - Understand: leaderboard
Metric: Accuracy (%) on the 1592 English BloomBench items at the Bloom level Understand (compositional and cognitive understanding: relations, emotions, semantics), four-option image-question multiple choice, zero-shot, temperature 0, the chosen letter parsed from the generated answer (Regex-based Answer Extraction; unparseable answers count as wrong); chance 25; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 3 27B | 94 |
| 2 | Gemma 3 12B | 94 |
| 3 | Qwen 2.5 VL 7B | 94 |
| 4 | Qwen 2 VL 7B | 93 |
| 5 | Gemma 4 31B | 93 |
| 6 | Gemma 4 26B A4B | 91 |
| 7 | GPT-4o Mini | 90 |
| 8 | Gemma 3 4B | 89 |
Interactive version: theaggregate.ai/benchmark?slug=bloombench-english-understand · How It Works · Data refreshed daily, snapshot 2026-09-29.