RobotEQ-Video - Synthetic Videos: leaderboard

The synthetic subset of RobotEQ-Video (Che, Lian et al., 2026): 1,218 generated egocentric videos built from a hierarchical world-state taxonomy, with 11,225 candidate robot actions to judge proper or improper. The score is the mean of accuracy, macro-F1, probability of agreement and consensus-weighted agreement with the annotators, in percent; higher is better.

Metric: Synthetic-subset Avg (%; action-properness judgment: given an egocentric robot-view video and a numbered list of candidate robot actions, the model labels each action proper or improper for socially appropriate proactive assistance; score is the mean of accuracy and macro-F1 against the majority-voted human label and of probability of agreement and consensus-weighted agreement with the four individual annotators; 1,218 generated videos, 11,225 actions). Source: arxiv.org. Saturation forecast: Around February 2027. 48 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.579.8#48
2Gemini 3.5 Flash79.7#98
3Seed 2.0 Lite79.4#286
4GPT-5.6 Luna79.1#117
5Gemini 3.1 Flash Lite77.8#363
6Qwen 3 VL 30B A3B Instruct76.7#870
7Qwen 3.5 27B (Thinking)76.7#358 (Qwen 3.5 27B)
8Qwen 3.6 Plus76.2#217
9Gemma 4 12B (IT)76.1#688
10Gemma 4 31B (IT)76#343
11Kimi K2.675#173
12Claude Sonnet 575#108
13GLM-5V Turbo75#342
14Qwen 3.5 9B (Thinking)74.9#803 (Qwen 3.5 9B)
15Qwen 3 VL 30B A3B (Thinking)74.5#710

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

Interactive version: theaggregate.ai/benchmark?slug=roboteq-video-synthetic-videos · How It Works · Data refreshed daily, snapshot 2026-11-12.