MMTU - Table QA — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 89.48 |
| 2 | GPT-5 Mini | 87.7 |
| 3 | Gemini 2.5 Pro | 87.61 |
| 4 | GPT-OSS-120B | 85.96 |
| 5 | Grok 3 Mini | 85.9 |
| 6 | DeepSeek R1 0528 | 85.71 |
| 7 | O3 | 85.11 |
| 8 | Gemini 2.5 Flash | 84.89 |
| 9 | Qwen 3 235B A22B (Thinking) | 83.12 |
| 10 | GPT-OSS-20B | 82.83 |
| 11 | Qwen 3 32B | 82.51 |
| 12 | Qwen 3 8B | 80.76 |
| 13 | Llama 4 Maverick Instruct FP8 | 79.81 |
| 14 | Llama 4 Scout Instruct | 73.98 |
| 15 | GPT-5 Chat | 72.85 |
Interactive version: theaggregate.ai/benchmark?slug=mmtu-table-qa · How the rankings work · Data refreshed daily, snapshot 2026-07-22.