MEGA-Bench Task - Table Understanding: leaderboard
The "Table Understanding" 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. 27 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude 3.5 Sonnet (20241022) | 71.4 | #291 |
| 2 | Gemini 1.5 Pro (002) | 64.3 | #349 |
| 3 | Claude 3.5 Sonnet (20240620) | 64.3 | #299 |
| 4 | InternVL2.5-78B | 64.3 | #431 |
| 5 | GPT-4o | 50 | #343 |
| 6 | Gemini 1.5 Flash (002) | 50 | #583 |
| 7 | GPT-4o Mini | 42.9 | #599 |
| 8 | Qwen 2 VL 72B | 14.3 | #460 |
| 9 | Qwen 2 VL 7B | 7.1 | #750 |
| 10 | Pixtral-12B | 7.1 | #808 |
| 11 | Qwen 2 VL 2B | 7.1 | #1220 |
| 12 | InternVL2-8B | 0 | #817 |
| 13 | MiniCPM-V-2.6 | 0 | #836 |
| 14 | Aquila-VL-2B | 0 | #1238 |
| 15 | InternVL2.5-2B | 0 | #1249 |
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-table-understanding · How It Works · Data refreshed daily, snapshot 2026-10-20.