MMTU - KB mapping — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 26 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O3 | 61.44 |
| 2 | GPT-5 | 61.18 |
| 3 | Gemini 2.5 Pro | 60.84 |
| 4 | Grok 3 Mini | 54.8 |
| 5 | GPT-5 Chat | 54.27 |
| 6 | GPT-5 Mini | 52.77 |
| 7 | GPT-4o (2024-11-20) | 49.84 |
| 8 | DeepSeek R1 0528 | 49 |
| 9 | Qwen 3 235B A22B (Thinking) | 47.63 |
| 10 | Gemini 2.5 Flash | 47.16 |
| 11 | Mistral Large 2 (Nov) Instruct (2411) | 45.67 |
| 12 | Llama 3.3 70B | 43.55 |
| 13 | GPT-OSS-120B | 42.32 |
| 14 | Llama 4 Maverick Instruct FP8 | 42.02 |
| 15 | Qwen 3 235B A22B 2507 Instruct | 41.29 |
Interactive version: theaggregate.ai/benchmark?slug=mmtu-kb-mapping · How the rankings work · Data refreshed daily, snapshot 2026-07-22.