LaViSA - Verb Scope: leaderboard
Metric: Per-trial accuracy (%) on the verb scope category; task: pick which disambiguated reading of a structurally ambiguous sentence a generated image depicts (2 or 3 readings per sentence, 100 sentences per category); chance 50; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 84.5 |
| 2 | Gemini 3.1 Flash Lite | 84 |
| 3 | GPT-5.2 | 82.5 |
| 4 | Qwen 3 VL 32B Instruct | 82 |
| 5 | Qwen 3 VL 32B (Thinking) | 80.5 |
| 6 | Qwen 3 VL 4B Instruct | 80 |
| 7 | Qwen 3 VL 8B (Thinking) | 80 |
| 8 | Qwen 3 VL 8B Instruct | 79 |
| 9 | Qwen 3 VL 4B (Thinking) | 74 |
| 10 | Gemma 3 27B (IT) | 73 |
| 11 | Gemma 3 12B (IT) | 72.5 |
| 12 | Gemma 3 4B (IT) | 51.5 |
Interactive version: theaggregate.ai/benchmark?slug=lavisa-verb-scope · How It Works · Data refreshed daily, snapshot 2026-09-29.