Video-MME-v2: leaderboard

Second-generation video understanding benchmark with 800 videos and non-linear consistency scoring across 3 difficulty levels. 8-option MCQ with grouped evaluation penalizing inconsistency.

Metric: Avg Accuracy w/o sub (%). Source: video-mme-v2.netlify.app. Saturation forecast: Around April 2027. 49 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro56.8#80
2Doubao-Seed-2.0-Pro-26021553.1#77
3Gemini 3 Flash52.4#99
4Kimi K2.551.2#144
5MiMo-V2-Omni47.1#253
6GPT-544.7#98
7Qwen 3.5 Omni Plus38.2#84
8Qwen 3 VL 235B A22B (Thinking)36.8#238 (Qwen 3 VL 235B A22B)
9Gemma 4 31B36.7#200
10Qwen 3 VL 235B A22B Instruct33.8#273
11Qwen 2.5 VL 72B Instruct30.3#377
12Qwen 3 VL 8B (Thinking)29.7
13Qwen 3 VL 30B A3B (Thinking)29.5#351 (Qwen 3 VL 30B A3B)
14Qwen 3 VL 8B Instruct27.9#420
15Qwen3 Omni 30B A3B Instruct27#383

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=video-mme-v2 · How It Works · Data refreshed daily, snapshot 2026-10-20.