MEGA-Bench Task - CLEVRER Video Moving Object Property Recognition: leaderboard

The "CLEVRER Video Moving Object Property Recognition" subtask of MEGA-Bench Task. A single task from MEGA-Bench, a large-scale multimodal evaluation suite that scores vision-language models across 500+ real-world tasks spanning perception, reasoning, OCR, charts, documents, and multi-image understanding.

Metric: Task Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1GLM-4.1V-9B (Thinking)100#472 (GLM-4.1V-9B)
2Qwen 2 VL 7B93.8#750
3InternVL3-14B93.8#505
4Qwen 2 VL 72B93.8#460
5InternVL2.5-78B93.8#431
6InternVL3-38B87.5#405
7InternVL3-8B81.2#620
8Gemini 2.5 Pro (Preview 03-25)81.2#123
9Aquila-VL-2B81.2#1238
10Gemma 3 27B (IT)75#523
11Claude 3.5 Sonnet (20241022)75#291
12Claude 3.5 Sonnet (20240620)75#299
13InternVL3-78B75#352
14Pixtral-12B75#808
15InternVL2-8B68.8#817

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

Interactive version: theaggregate.ai/benchmark?slug=mega-bench-task-clevrer-video-moving-object-property-recognition · How It Works · Data refreshed daily, snapshot 2026-10-20.