MEGA-Bench Task - Landmark Recognition And QA: leaderboard

The "Landmark Recognition And QA" 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: Around January 2027. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)75.6#123
2GPT-4o71.1#343
3Claude 3.5 Sonnet (20241022)71.1#291
4Gemini 2.0 Flash (Preview)71.1#370
5Gemini 1.5 Pro (002)66.7#349
6Qwen 2 VL 7B64.4#750
7Gemma 3 12B (IT)62.2#664
8Claude 3.5 Sonnet (20240620)60#299
9Gemma 3 4B (IT)57.8#992
10Qwen 2 VL 72B57.8#460
11Gemma 3 27B (IT)55.6#523
12Gemini 1.5 Flash (002)55.6#583
13GPT-4o Mini53.3#599
14InternVL3-38B53.3#405
15Pixtral-12B53.3#808

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-landmark-recognition-and-qa · How It Works · Data refreshed daily, snapshot 2026-10-20.