VERHallu - Causal QA: leaderboard
Metric: Accuracy (%; 497 seven-option questions on why an event happens, distractors from language and vision-language priors; random 14.3; each model's own frame sampling and default settings, answer given as the option number). Source: arxiv.org. Saturation forecast: Around April 2027. 18 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro | 65.7 |
| 2 | Qwen 2.5 VL 7B Instruct | 40.8 |
| 3 | Qwen 2.5 VL 32B Instruct | 39.6 |
| 4 | InternVL3-8B | 35.4 |
| 5 | MiniCPM-V-2.6 | 32.9 |
| 6 | Qwen 2.5 VL 72B Instruct | 28.9 |
Interactive version: theaggregate.ai/benchmark?slug=verhallu-causal-qa · How It Works · Data refreshed daily, snapshot 2026-09-26.