SYNCR - Object Counting: leaderboard
Metric: Exact-match accuracy (%) on the SYNCR Object Counting task (counting distinct objects seen across several videos), zero-shot four-option multiple choice over 2 to 4 labelled input videos, exact match, deterministic decoding, on the paper's balanced subset of 200 questions per task; chance is 25; higher is better. Source: arxiv.org. Saturation forecast: Around 2028. 19 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 | 68 |
| 2 | Qwen 3 VL 8B Instruct | 60.5 |
| 3 | Qwen 3 VL 4B Instruct | 56 |
| 4 | Qwen 3 VL 32B Instruct | 54.5 |
| 5 | Qwen 2.5 VL 32B Instruct | 50 |
| 6 | Qwen 2.5 VL 7B Instruct | 48.5 |
| 7 | Gemini 3 Flash | 48 |
| 8 | Qwen 2.5 VL 72B Instruct | 46.5 |
Interactive version: theaggregate.ai/benchmark?slug=syncr-object-counting · How It Works · Data refreshed daily, snapshot 2026-10-07.