Video-HOCA - Physical Reasoning (Ontological): leaderboard

Metric: Rubric score (0-100) by a GPT-OSS-120B judge of the structured open-ended answer (scene, anomaly, anomaly type, physical explanation) against the reference explanation on Video-HOCA's ontological anomalies (entity-centred: an object or agent is internally inconsistent, unstable or does what it should not); 16 uniformly sampled frames, deterministic Instruct-mode decoding (temperature 0, 1,024 tokens); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 20 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 32B Instruct78.5#276
2Qwen 3.5 27B (Non-reasoning)77.5#183 (Qwen 3.5 27B)
3Gemini 3 Flash76.6#93
4Qwen 3.5 35B A3B (Non-reasoning)75.8#250 (Qwen 3.5 35B A3B)
5Qwen 3.5 9B (Non-reasoning)75.3#363 (Qwen 3.5 9B)
6Qwen 3 VL 30B A3B Instruct74.6#365
7Gemini 2.5 Flash73.6#237
8GPT-4o69.4#333
9Qwen 3 VL 8B Instruct64.6#401
10Qwen 2.5 VL 7B Instruct52.2#643

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=video-hoca-physical-reasoning-ontological · How It Works · Data refreshed daily, snapshot 2026-10-11.