MEGA-Bench Task - Knowledge Graph Understanding: leaderboard

The "Knowledge Graph Understanding" 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
1Gemini 2.0 Flash (Preview)80#370
2Gemini 2.5 Pro (Preview 03-25)73.3#123
3Gemini 1.5 Pro (002)66.7#349
4InternVL3-14B66.7#505
5GPT-4o60#343
6Gemma 3 27B (IT)60#523
7Claude 3.5 Sonnet (20241022)60#291
8Gemini 1.5 Flash (002)60#583
9InternVL3-78B60#352
10GPT-4o Mini53.3#599
11Qwen 2 VL 72B53.3#460
12InternVL2.5-78B53.3#431
13Llama 4 Scout Base53.3#707
14Gemma 3 12B (IT)46.7#664
15Claude 3.5 Sonnet (20240620)46.7#299

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-knowledge-graph-understanding · How It Works · Data refreshed daily, snapshot 2026-10-20.