GameplayQA - Object Recognition: leaderboard
Metric: Accuracy (%) on the 70 Object Recognition questions (the model must identify or verify world 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: Around February 2028. 16 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Seed-1.6 | 77.1 | #257 |
| 2 | Gemini 3 Flash | 75.7 | #93 |
| 3 | Qwen 3 VL 8B Instruct | 74.3 | #401 |
| 4 | Qwen 3 VL 30B A3B Instruct | 74.3 | #365 |
| 5 | Seed 1.6 Flash | 72.1 | #427 |
| 6 | Gemini 2.5 Flash | 71.4 | #237 |
| 7 | Gemini 2.5 Pro | 70 | #145 |
| 8 | GPT-5 | 70 | #91 |
| 9 | Claude Sonnet 4.5 | 70 | #138 |
| 10 | GPT-5 Nano | 70 | #415 |
| 11 | Qwen 3 VL 235B A22B Instruct | 70 | #264 |
| 12 | GPT-5 Mini | 68.6 | #176 |
| 13 | Gemma 3 12B (IT) | 65.7 | #655 |
| 14 | Gemma 3 4B (IT) | 64.3 | #971 |
| 15 | Claude Haiku 4.5 | 60 | #271 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=gameplayqa-object-recognition · How It Works · Data refreshed daily, snapshot 2026-10-11.