MEGA-Bench - Input Format: Text Based Images And Documents: leaderboard

The "Input Format: Text Based Images And Documents" subtask of MEGA-Bench. TIGER-Lab multimodal evaluation with 500+ tasks across vision-language understanding, generation, and reasoning with 44 models.

Metric: Average Score (%). Source: huggingface.co. Saturation forecast: Around January 2027. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)56.9#123
2Gemini 2.0 Flash (Preview)49.9#370
3GPT-4o49.1#343
4Claude 3.5 Sonnet (20241022)48.9#291
5Claude 3.5 Sonnet (20240620)48#299
6InternVL3-78B44#352
7Gemini 1.5 Pro (002)42.9#349
8Qwen 2 VL 72B42.8#460
9InternVL3-38B41.8#405
10Gemma 3 27B (IT)39.8#523
11InternVL2.5-78B39.4#431
12InternVL3-14B39.2#505
13GLM-4.1V-9B (Thinking)36.4#472 (GLM-4.1V-9B)
14GPT-4o Mini36.2#599
15InternVL3-8B35.2#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-input-format-text-based-images-and-documents · How It Works · Data refreshed daily, snapshot 2026-10-20.