MEGA-Bench Task - Functionality Matching In Different Objects: leaderboard

The "Functionality Matching In Different Objects" 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
1InternVL3-38B78.6#405
2Gemini 1.5 Pro (002)71.4#349
3Gemini 2.0 Flash (Preview)71.4#370
4Gemini 2.5 Pro (Preview 03-25)67.9#123
5GPT-4o64.3#343
6InternVL3-78B60.7#352
7InternVL3-14B60.7#505
8Claude 3.5 Sonnet (20241022)57.1#291
9Gemma 3 27B (IT)53.6#523
10Claude 3.5 Sonnet (20240620)53.6#299
11Qwen 2 VL 72B53.6#460
12GLM-4.1V-9B (Thinking)53.6#472 (GLM-4.1V-9B)
13Gemini 1.5 Flash (002)46.4#583
14InternVL2.5-78B42.9#431
15InternVL3-8B39.3#620

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-functionality-matching-in-different-objects · How It Works · Data refreshed daily, snapshot 2026-10-20.