MEGA-Bench Task - ActivityNetQA: leaderboard

The "ActivityNetQA" 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: Not forecast. 44 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o70.5#343
2Qwen 2 VL 72B58.9#460
3GLM-4.1V-9B (Thinking)53.7#472 (GLM-4.1V-9B)
4Aquila-VL-2B51.6#1238
5Gemini 1.5 Flash (002)50.5#583
6InternVL2.5-78B49.5#431
7InternVL3-14B48.4#505
8Qwen 2 VL 2B47.9#1220
9Gemma 3 27B (IT)45.8#523
10InternVL3-78B45.8#352
11InternVL2.5-2B45.3#1249
12Gemini 1.5 Pro (002)44.7#349
13Gemini 2.0 Flash (Preview)44.7#370
14Qwen 2 VL 7B44.5#750
15InternVL2-8B43.2#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-activitynetqa · How It Works · Data refreshed daily, snapshot 2026-10-20.