MEGA-Bench - Input Count: 4-5 Images: leaderboard
The "Input Count: 4-5 Images" 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro (Preview 03-25) | 58.4 | #123 |
| 2 | Gemini 1.5 Pro (002) | 48.9 | #349 |
| 3 | Gemini 2.0 Flash (Preview) | 48.8 | #370 |
| 4 | Claude 3.5 Sonnet (20241022) | 48.3 | #291 |
| 5 | GPT-4o | 45 | #343 |
| 6 | Claude 3.5 Sonnet (20240620) | 44.2 | #299 |
| 7 | InternVL3-78B | 42.2 | #352 |
| 8 | InternVL3-38B | 40.8 | #405 |
| 9 | Gemma 3 27B (IT) | 38.6 | #523 |
| 10 | Gemini 1.5 Flash (002) | 35.2 | #583 |
| 11 | Qwen 2 VL 72B | 34.8 | #460 |
| 12 | InternVL3-14B | 33.8 | #505 |
| 13 | GLM-4.1V-9B (Thinking) | 30.5 | #472 (GLM-4.1V-9B) |
| 14 | InternVL3-8B | 28.9 | #620 |
| 15 | Gemma 3 12B (IT) | 28.8 | #664 |
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-4-5-images · How It Works · Data refreshed daily, snapshot 2026-10-20.