Video-MemComp - VideoMME Long: leaderboard

Video-MemComp v1: streaming evaluation of official development sets. Table 1 mixes reproduced starred rows and results from prior papers; frame sampling and average KV budget differ by system and remain in row identity. Backbone checkpoint revision and decoding are not fully specified; source-qualified systems are retained. This is video QA under cache compression, not an unmodified backbone score. VideoMME Long. Metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 15 models tracked.

Top models

#ModelScoreOverall rank
1Video-MemComp Qwen2-VL-7B [frames 768; KV 100K]55.1
2Video-MemComp Qwen2-VL-7B + InfiniPot-V [frames 768; KV 6K]53.4
3Video-MemComp Qwen2.5-VL-3B + Video-MemComp [frames 768; KV 6K]53.2
4Video-MemComp Qwen2-VL-7B + StreamMem [frames 0.5/0.2fps; KV 6K]52.3
5Video-MemComp Qwen2-VL-7B + DyCoke [frames 768; KV 6K]51.7
6Video-MemComp Qwen2-VL-7B + Video-MemComp [frames 768; KV 6K]51.6
7Video-MemComp Qwen2.5-VL-3B [frames 768; KV 100K]50.6
8Video-MemComp LLaVA-OneVision-7B + StreamMem [frames 0.5/0.2 fps; KV 6K]50.1
9Video-MemComp Qwen2.5-VL-3B + StreamMem [frames 4.0/0.5 fps; KV 6K]49.1
10Video-MemComp LLaVA-OneVision-7B + LiveVLM [frames 0.5/0.2 fps; KV -]48.8

Interactive version: theaggregate.ai/benchmark?slug=video-memcomp-videomme-long · How It Works · Data refreshed daily, snapshot 2026-10-27.