Vector Eval - MATH — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O3 Mini | 96.91 |
| 2 | O1 | 95.9 |
| 3 | DeepSeek R1 | 92.72 |
| 4 | Gemini 1.5 Pro | 85.2 |
| 5 | Claude 3.5 Sonnet | 79.42 |
| 6 | GPT-4o | 70.54 |
| 7 | Mistral Large 2 (Jul) | 65.74 |
| 8 | GPT-4o Mini | 63.3 |
| 9 | Llama 3.1 70B Instruct | 60.04 |
| 10 | Gemini 1.5 Flash | 45.2 |
| 11 | Command-R+ | 26.26 |
Interactive version: theaggregate.ai/benchmark?slug=vector-eval-math · How the rankings work · Data refreshed daily, snapshot 2026-07-22.