VSAS-Bench (Synchronous) - Cumulative: leaderboard
Metric: Mean average accuracy (%) on Cumulative tasks (recalling and reasoning over past events) under the synchronous protocol (the model runs in lockstep with the stream, so inference latency does not count; video VLMs adapted with the sliding-window memory policy), over VSAS-Bench's 92 videos with dense 1 FPS free-form annotations; each timestep's response is judged against the annotation by GPT-5 (medium reasoning) on a 0-1 scale, shown as %; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 (Medium) | 65.3 |
| 2 | GPT-5 (Low) | 64.6 |
| 3 | GPT-5 (High) | 64.3 |
| 4 | Qwen 3 VL 32B Instruct | 58.3 |
| 5 | InternVL3-38B | 53.5 |
| 6 | Qwen 3 VL 8B Instruct | 52.3 |
| 7 | Qwen 3 VL 4B Instruct | 47.9 |
| 8 | InternVL3-8B | 41.8 |
Interactive version: theaggregate.ai/benchmark?slug=vsas-bench-synchronous-cumulative · How It Works · Data refreshed daily, snapshot 2026-10-07.