TAR-Bench - Video Summarization: leaderboard
Metric: Scaled BERTScore F1 (%; a summary of the events in the clip, compared with the reference; zero-shot in non-reasoning (direct-answer) mode through VLMEvalKit, mean of 3 runs, on TAR-Bench: 960 human-curated annotations for 80 held-out traffic-anomaly clips from 17 public YouTube videos). Source: arxiv.org. Saturation forecast: Around 2030. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 16.5 |
| 2 | Qwen 3.5 27B (Non-reasoning) | 13.4 |
| 3 | Qwen 3.5 9B (Non-reasoning) | 12.8 |
| 4 | Gemma 4 31B (IT) | 9.2 |
| 5 | Qwen 3 VL 8B Instruct | 4.3 |
| 6 | Qwen 3 VL 32B Instruct | 0.9 |
Interactive version: theaggregate.ai/benchmark?slug=tar-bench-video-summarization · How It Works · Data refreshed daily, snapshot 2026-09-29.