MEGA-Bench Task - Product OCR QA: leaderboard

The "Product OCR 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
1GPT-4o71.4#343
2Gemini 2.5 Pro (Preview 03-25)71.4#123
3Gemma 3 27B (IT)50#523
4InternVL3-78B50#352
5InternVL3-8B42.9#620
6Qwen 2 VL 72B42.9#460
7Gemini 2.0 Flash (Preview)42.9#370
8Claude 3.5 Sonnet (20241022)35.7#291
9InternVL3-38B35.7#405
10InternVL2.5-78B35.7#431
11GLM-4.1V-9B (Thinking)35.7#472 (GLM-4.1V-9B)
12Gemma 3 4B (IT)28.6#992
13GPT-4o Mini28.6#599
14Gemini 1.5 Pro (002)28.6#349
15Gemini 1.5 Flash (002)28.6#583

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-product-ocr-qa · How It Works · Data refreshed daily, snapshot 2026-10-20.