MMHBench - Third-Person: leaderboard

The third-person assessment questions of MMHBench (2026): 605 multiple-choice questions on long-form mental-health videos about observable behavior and multimodal evidence. Accuracy in percent; higher is better.

Metric: Accuracy (%; the 605 third-person assessment multiple-choice questions on 268 long-form mental-health-related videos, 64 uniformly sampled frames, zero-shot about observable behavior and multimodal evidence; higher is better). Source: arxiv.org. Saturation forecast: Around March 2027. 21 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.563.64#49
2Qwen 3.7 Plus58.35#207
3Qwen 3.6 Plus58.18#222
4Qwen 3.6 35B A3B57.85#462
5Qwen 3.5 35B A3B55.37#482
6Qwen 3.5 9B53.22#803
7Qwen 3.5 4B51.9#1175
8Gemma 4 26B A4B45.95#615
9MiniCPM-V-2.643.31#3063
10Ministral 3 14B30.08#1845
11Gemma 4 E4B28.6#2214

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

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