MEGA-Bench - Input Count: 9 Images Or More: leaderboard

The "Input Count: 9 Images Or More" 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: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)72.9#123
2Gemini 2.0 Flash (Preview)60.2#370
3Claude 3.5 Sonnet (20241022)59.1#291
4Claude 3.5 Sonnet (20240620)54.1#299
5Gemini 1.5 Pro (002)53.7#349
6GPT-4o53.4#343
7GLM-4.1V-9B (Thinking)52.7#472 (GLM-4.1V-9B)
8Qwen 2 VL 72B52.4#460
9Gemini 1.5 Flash (002)44.6#583
10GPT-4o Mini43.1#599
11InternVL2.5-78B41.8#431
12Gemma 3 27B (IT)40.4#523
13Gemma 3 12B (IT)35.2#664
14Qwen 2 VL 7B35#750
15InternVL3-78B28.1#352

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-count-9-images-or-more · How It Works · Data refreshed daily, snapshot 2026-10-20.