MEGA-Bench Task - Semantic Matching Of Two Images: leaderboard

The "Semantic Matching Of Two Images" 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
1GPT-4o64.3#343
2GLM-4.1V-9B (Thinking)64.3#472 (GLM-4.1V-9B)
3Claude 3.5 Sonnet (20241022)50#291
4Claude 3.5 Sonnet (20240620)50#299
5Gemma 3 12B (IT)42.9#664
6Gemini 2.5 Pro (Preview 03-25)42.9#123
7Gemma 3 27B (IT)35.7#523
8Gemini 1.5 Pro (002)35.7#349
9InternVL3-78B35.7#352
10Gemini 2.0 Flash (Preview)35.7#370
11InternVL3-38B28.6#405
12Pixtral-12B28.6#808
13InternVL2.5-2B28.6#1249
14InternVL3-8B21.4#620
15InternVL3-14B21.4#505

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-semantic-matching-of-two-images · How It Works · Data refreshed daily, snapshot 2026-10-20.