MMTU - Column Transform — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 | 52.05 |
| 2 | O3 | 51.99 |
| 3 | GPT-5 Mini | 51.34 |
| 4 | Gemini 2.5 Pro | 48.58 |
| 5 | Grok 3 Mini | 46.48 |
| 6 | GPT-OSS-120B | 46.34 |
| 7 | DeepSeek R1 0528 | 45.06 |
| 8 | Gemini 2.5 Flash | 43.84 |
| 9 | Qwen 3 235B A22B (Thinking) | 43.72 |
| 10 | GPT-5 Chat | 41.62 |
| 11 | Qwen 3 32B | 39.75 |
| 12 | Qwen 3 235B A22B 2507 Instruct | 37.76 |
| 13 | GPT-OSS-20B | 37.58 |
| 14 | GPT-4o (2024-11-20) | 36.89 |
| 15 | Mistral Large 2 (Nov) Instruct (2411) | 36.72 |
Interactive version: theaggregate.ai/benchmark?slug=mmtu-column-transform · How the rankings work · Data refreshed daily, snapshot 2026-07-22.