AffectSim (Monitor View): leaderboard

AffectSim (2026) tests emotion recognition from body movement in simulated homes: emotion-labelled full-body motions are replayed in Habitat indoor scenes and a frozen vision-language model classifies each of 3,941 test episodes as angry, fearful, happy, neutral or sad. The observation is a fixed room-level monitoring camera. Score is macro-F1 in percent; higher is better.

Metric: Macro-F1 (%; P-Mon: a fixed room-level monitoring camera; five-class emotion recognition (angry, fearful, happy, neutral, sad) on the 3,941 test episodes of AffectSim, full-body affective motions replayed in Habitat indoor scenes; frozen recognizer, eight uniformly sampled frames for most open models, full video or eight frames for closed models). Source: arxiv.org. Saturation forecast: Around 2029. 24 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 529.27#22
2Gemini 3 Pro25.21#137
3Gemini 3 Flash25.11#164
4GPT-5.6 Sol21.53#30
5GPT-5.221.08#176
6InternVL2.5-78B20.7#1014
7Qwen 3 VL 8B Instruct11.79#981
8Qwen 3 VL 8B (Thinking)8.68#887
9Qwen2.5-Omni-7B7.78#1789
10Qwen 2.5 VL 72B Instruct6.63#846
11MiniCPM-V-2.66.34#3063
12Qwen 2.5 VL 7B Instruct5.99#1833

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

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