MEGA-Bench Task - Geographic Remote Sensing Land Cover: leaderboard

The "Geographic Remote Sensing Land Cover" 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
1GPT-4o78.6#343
2Gemma 3 27B (IT)64.3#523
3Gemma 3 12B (IT)64.3#664
4GPT-4o Mini64.3#599
5InternVL3-8B64.3#620
6Gemini 2.5 Pro (Preview 03-25)64.3#123
7Qwen 2 VL 72B64.3#460
8Gemini 2.0 Flash (Preview)64.3#370
9Claude 3.5 Sonnet (20241022)57.1#291
10Gemini 1.5 Pro (002)57.1#349
11InternVL3-78B57.1#352
12GLM-4.1V-9B (Thinking)57.1#472 (GLM-4.1V-9B)
13Gemma 3 4B (IT)50#992
14Claude 3.5 Sonnet (20240620)50#299
15InternVL2.5-78B50#431

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-geographic-remote-sensing-land-cover · How It Works · Data refreshed daily, snapshot 2026-10-20.