OpenVLM Video - MLVU - Action Count: leaderboard
MLVU Action Count accuracy from the OpenCompass OpenVLM Video Leaderboard (VLMEvalKit): multiple-choice questions on long videos (3 minutes to 2 hours) about how often an action happens. One of the seven MLVU multiple-choice tasks; accuracy in percent, higher is better.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 37 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | InternVL3-78B | 59.7 | #361 |
| 2 | InternVL3-38B | 58.7 | #413 |
| 3 | InternVL2.5-78B | 51.5 | #434 |
| 4 | InternVL3-8B | 43.2 | #624 |
| 5 | InternVL2-8B | 35.9 | #813 |
| 6 | Gemini 2.0 Flash | 35 | #351 |
| 7 | MiniCPM-V-2.6 | 34 | #827 |
| 8 | Qwen 2 VL 7B | 30.1 | #743 |
| 9 | Qwen2.5-Omni-7B | 30.1 | #633 |
| 10 | Qwen 2.5 VL 7B | 27.2 | #641 |
| 11 | Qwen 2 VL 72B | 26.7 | #450 |
| 12 | Phi-4 Multimodal Instruct | 18.9 | #922 |
| 13 | Gemini 1.5 Flash | 18.4 | #620 |
| 14 | Claude 3.5 Sonnet | 4.9 | #362 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=openvlm-video-mlvu-action-count · How It Works · Data refreshed daily, snapshot 2026-11-05.