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. Status: saturation imminent. 49 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Human Expert | 94.94 |
| 2 | Gemini 3 Pro | 56.8 |
| 3 | Gemini 3 Flash | 52.4 |
| 4 | Kimi K2.5 | 51.2 |
| 5 | MiMo-V2-Omni | 47.1 |
| 6 | GPT-5 | 44.7 |
| 7 | Qwen 3.5 Omni Plus | 38.2 |
| 8 | Qwen 3 VL 235B A22B (Thinking) | 36.8 |
| 9 | Gemma 4 31B | 36.7 |
| 10 | Qwen 3 VL 235B A22B Instruct | 33.8 |
| 11 | Qwen 3 VL 8B (Thinking) | 29.7 |
| 12 | Qwen 3 VL 30B A3B (Thinking) | 29.5 |
| 13 | Qwen 3 VL 8B Instruct | 27.9 |
| 14 | Qwen3 Omni 30B A3B Instruct | 27 |
| 15 | Qwen 3 VL 4B Instruct | 26.2 |
Interactive version: theaggregate.ai/benchmark?slug=video-mme-v2 · How the rankings work · Data refreshed daily, snapshot 2026-07-22.