MoHallBench - Scene-Action Hallucination: leaderboard

Tests whether video LLMs affirm an action that the scene makes likely but that does not occur in the clip, 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; scene-action co-occurrence hallucination, Charades). Source: arxiv.org. Saturation forecast: Around February 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 8B Instruct53.6#981
2InternVL3-8B50.1#1688
3Molmo2-8B49.9#1483
4Qwen 2 VL 7B Instruct32.2#2553
5Qwen 2.5 VL 7B Instruct26.3#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-scene-action-hallucination · How It Works · Data refreshed daily, snapshot 2026-11-13.