Vector Eval - MMLU — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude 3.5 Sonnet | 86.65 |
| 2 | Gemini 1.5 Pro | 84.67 |
| 3 | GPT-4o | 84.35 |
| 4 | Mistral Large 2 (Jul) | 80.36 |
| 5 | Llama 3.1 70B Instruct | 80.34 |
| 6 | Gemini 1.5 Flash | 77.15 |
| 7 | GPT-4o Mini | 76.98 |
| 8 | Command-R+ | 69.51 |
Interactive version: theaggregate.ai/benchmark?slug=vector-eval-mmlu · How the rankings work · Data refreshed daily, snapshot 2026-07-22.