MMTU - Data Cleaning — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Pro | 54.57 |
| 2 | O3 | 51.75 |
| 3 | GPT-5 | 51.05 |
| 4 | GPT-5 Mini | 49.22 |
| 5 | GPT-5 Chat | 45.64 |
| 6 | GPT-4o (2024-11-20) | 44.55 |
| 7 | Gemini 2.5 Flash | 43.7 |
| 8 | Qwen 3 235B A22B 2507 Instruct | 42.6 |
| 9 | Grok 3 Mini | 41.93 |
| 10 | Llama 4 Maverick Instruct FP8 | 40.2 |
| 11 | DeepSeek R1 0528 | 39.93 |
| 12 | Llama 3.3 70B | 38.64 |
| 13 | Mistral Large 2 (Nov) Instruct (2411) | 37.31 |
| 14 | Qwen 3 32B | 33.8 |
| 15 | Qwen 3 8B | 32.63 |
Interactive version: theaggregate.ai/benchmark?slug=mmtu-data-cleaning · How the rankings work · Data refreshed daily, snapshot 2026-07-22.