FCMBench-Video (English) - Counting: leaderboard

Metric: Counting: exact-match accuracy (%) of the de-duplicated count of logical documents shown in the video, 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: Around January 2027. 9 models tracked.

Top models

#ModelScore
1Gemini 3 Pro (Preview)67.92
2Qwen 3.5 27B59.77
3Qwen 3 VL 32B Instruct54.94
4InternVL3-8B38.42
5Qwen3 Omni 30B A3B Instruct34.72
6Qwen 3 VL 8B Instruct34.57

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