GameplayQA - Absence Recognition: leaderboard

Metric: Accuracy (%) on the 195 Absence Recognition questions (the model must identify actions or states that did not occur over a timespan) of GameplayQA (multiple-choice questions on synchronized first-person 3D gameplay videos with structured distractors, zero-shot; Gemini models take the whole video, the others 1 frame per second up to 32 frames); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 16 models tracked.

Top models

#ModelScoreOverall rank
1GPT-586.2#91
2Gemini 3 Flash83.6#93
3Gemini 2.5 Pro82.1#145
4Qwen 3 VL 235B A22B Instruct80#264
5Qwen 3 VL 30B A3B Instruct79.5#365
6GPT-5 Mini79#176
7Seed-1.678.5#257
8Gemini 2.5 Flash76.9#237
9Qwen 3 VL 8B Instruct73.3#401
10Seed 1.6 Flash68.8#427
11Claude Sonnet 4.568.2#138
12Gemma 3 27B (IT)66.2#509
13GPT-5 Nano64.6#415
14Gemma 3 4B (IT)57.4#971
15Gemma 3 12B (IT)54.9#655

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

Interactive version: theaggregate.ai/benchmark?slug=gameplayqa-absence-recognition · How It Works · Data refreshed daily, snapshot 2026-10-11.