MMTU - Table Join: leaderboard
The "Table Join" subtask of MMTU. Massive Multi-Task Table Understanding benchmark with real-world table reasoning tasks including joins, transformations, cleaning, and question answering.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Around January 2027. 26 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Grok 3 Mini | 77.14 | #281 |
| 2 | GPT-5 Mini | 77.13 | #186 |
| 3 | DeepSeek R1 0528 | 76.69 | #222 |
| 4 | O3 | 76.53 | #124 |
| 5 | GPT-5 | 75.98 | #98 |
| 6 | GPT-5 Chat | 75.87 | #241 |
| 7 | Gemini 2.5 Flash | 73.26 | #245 |
| 8 | Gemini 2.5 Pro | 71.34 | #152 |
| 9 | Qwen 3 32B | 70.34 | #443 |
| 10 | Qwen 3 8B | 68.91 | #674 |
| 11 | Llama 4 Maverick Instruct FP8 | 67.37 | #414 |
| 12 | Mistral Large 2 (Nov) Instruct (2411) | 67.23 | #465 |
| 13 | Qwen 3 235B A22B 2507 Instruct | 66.75 | #300 |
| 14 | Mistral Small 3.1 | 66.7 | #610 |
| 15 | GPT-4o (2024-11-20) | 66.06 | #381 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=mmtu-table-join · How It Works · Data refreshed daily, snapshot 2026-10-20.