GameplayQA - Static Object Count: leaderboard

Metric: Accuracy (%) on the 29 Static Object Count questions (the model must count static objects in the scene) 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: Not forecast. 16 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 VL 8B Instruct62.1#401
2Qwen 3 VL 30B A3B Instruct58.6#365
3Qwen 3 VL 235B A22B Instruct55.2#264
4Claude Haiku 4.551.7#271
5Seed-1.651.7#257
6Seed 1.6 Flash50#427
7GPT-548.3#91
8Claude Sonnet 4.548.3#138
9Gemma 3 27B (IT)44.8#509
10GPT-5 Nano37.9#415
11Gemini 2.5 Pro34.5#145
12GPT-5 Mini34.5#176
13Gemini 2.5 Flash31#237
14Gemma 3 12B (IT)31#655
15Gemma 3 4B (IT)24.1#971

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

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