MEGA-Bench Task - TQA Textbook QA: leaderboard

The "TQA Textbook 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: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1InternVL3-38B100#405
2InternVL2-8B100#817
3Claude 3.5 Sonnet (20241022)92.9#291
4Pixtral-12B92.9#808
5GLM-4.1V-9B (Thinking)92.9#472 (GLM-4.1V-9B)
6GPT-4o85.7#343
7Gemma 3 27B (IT)85.7#523
8GPT-4o Mini85.7#599
9InternVL3-8B85.7#620
10Gemini 1.5 Pro (002)85.7#349
11Claude 3.5 Sonnet (20240620)85.7#299
12Gemini 2.5 Pro (Preview 03-25)85.7#123
13Gemini 2.0 Flash (Preview)85.7#370
14Llama 4 Scout Base85.7#707
15Gemini 1.5 Flash (002)78.6#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-tqa-textbook-qa · How It Works · Data refreshed daily, snapshot 2026-10-20.