MoHallBench - Action-Action Hallucination: leaderboard

Tests whether video LLMs affirm a usual preceding or following action after the clip has been cut to remove it, using bias-aware paired yes/no queries; from MoHallBench (2026). Q-PairAcc in percent, higher is better.

Metric: Q-PairAcc (%; share of adversarial pairs in which the model answers both the positive and the negative (reversed) yes/no query correctly; 32 uniformly sampled frames, temperature 0; action-action transition hallucination on truncated clips). Source: arxiv.org. Saturation forecast: Around February 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 8B Instruct25.7#981
2Molmo2-8B24.4#1483
3InternVL3-8B19.9#1688
4Qwen 2 VL 7B Instruct15.5#2553
5Qwen 2.5 VL 7B Instruct14.3#1833

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=mohallbench-action-action-hallucination · How It Works · Data refreshed daily, snapshot 2026-11-13.