LongVQUBench - LQU Classification: leaderboard
Metric: Accuracy (%; Classification (local event quality understanding) questions; multiple-choice accuracy on the 60% held-out test split of LongVQUBench (1,200 long videos with synthetic or authentic spatial and temporal distortions); uniformly sampled frames at the frame budget each model selected on the validation split, one forward pass, one answer option). Source: arxiv.org. Saturation forecast: Around December 2026. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 56.5 |
| 2 | Qwen 3 VL 8B Instruct | 47 |
Interactive version: theaggregate.ai/benchmark?slug=longvqubench-lqu-classification · How It Works · Data refreshed daily, snapshot 2026-09-29.