FCMBench-Video (English) - Classification: leaderboard

Metric: Classification: F1 (%) of the document types the model recognizes in a multi-document video against the ground-truth types, on FCMBench-Video's en-US subset (795 composed videos of 8 English document types, 5,362 instances); zero-shot with structured outputs; each model's native video serving path (2 FPS sampling for most open models, 0.5 FPS for Ovis2.5, raw video upload for the API models); higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScore
1Qwen 3.5 27B91.53
2Gemini 3 Pro (Preview)90.98
3Qwen 3 VL 32B Instruct87.23
4Qwen 3 VL 8B Instruct82.82
5Qwen3 Omni 30B A3B Instruct79
6InternVL3-8B76.6

Interactive version: theaggregate.ai/benchmark?slug=fcmbench-video-english-classification · How It Works · Data refreshed daily, snapshot 2026-10-07.