MEGA-Bench Task - Rocks Samples Identify: leaderboard

The "Rocks Samples Identify" 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)53.3#123
2Gemini 2.0 Flash (Preview)40#370
3GPT-4o33.3#343
4Gemma 3 27B (IT)33.3#523
5Qwen 2 VL 72B33.3#460
6Gemma 3 4B (IT)26.7#992
7GPT-4o Mini26.7#599
8Gemini 1.5 Pro (002)26.7#349
9InternVL3-14B26.7#505
10Claude 3.5 Sonnet (20241022)20#291
11Gemini 1.5 Flash (002)20#583
12Claude 3.5 Sonnet (20240620)20#299
13GLM-4.1V-9B (Thinking)20#472 (GLM-4.1V-9B)
14Gemma 3 12B (IT)13.3#664
15InternVL3-38B13.3#405

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-rocks-samples-identify · How It Works · Data refreshed daily, snapshot 2026-10-20.