Vector Eval - MMLU-Pro — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O1 | 84.47 |
| 2 | DeepSeek R1 | 83.83 |
| 3 | O3 Mini | 79.25 |
| 4 | Claude 3.5 Sonnet | 77.63 |
| 5 | Gemini 1.5 Pro | 75.64 |
| 6 | GPT-4o | 74.51 |
| 7 | Mistral Large 2 (Jul) | 69.42 |
| 8 | Llama 3.1 70B Instruct | 66.89 |
| 9 | GPT-4o Mini | 63.96 |
| 10 | Gemini 1.5 Flash | 59.93 |
| 11 | Command-R+ | 44.12 |
Interactive version: theaggregate.ai/benchmark?slug=vector-eval-mmlu-pro · How the rankings work · Data refreshed daily, snapshot 2026-07-22.