Video-MemComp - MLVU KV 3K: 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. Appendix E.1: Qwen2-VL-7B, MLVU dev, matched global KV capacity equivalent to 3K per layer. Full-KV row is a single reference spanning columns and is not replicated into budgets. MLVU KV 3K. Metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 6 models tracked.

Top models

#ModelScoreOverall rank
1Video-MemComp Qwen2-VL-7B Video-MemComp65.48
2Video-MemComp Qwen2-VL-7B InfiniPot-V64.7
3Video-MemComp Qwen2-VL-7B SnapKV58.99
4Video-MemComp Qwen2-VL-7B InfiniPot58.36
5Video-MemComp Qwen2-VL-7B Uniform55.59
6Video-MemComp Qwen2-VL-7B FastV55.01

Interactive version: theaggregate.ai/benchmark?slug=video-memcomp-mlvu-kv-3k · How It Works · Data refreshed daily, snapshot 2026-10-27.