Vector Eval - GPQA-D — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O1 | 75.51 |
| 2 | O3 Mini | 73.65 |
| 3 | DeepSeek R1 | 70.45 |
| 4 | Claude 3.5 Sonnet | 60.98 |
| 5 | Gemini 1.5 Pro | 57.83 |
| 6 | GPT-4o | 51.01 |
| 7 | Mistral Large 2 (Jul) | 47.35 |
| 8 | Llama 3.1 70B Instruct | 43.18 |
| 9 | Gemini 1.5 Flash | 40.4 |
| 10 | GPT-4o Mini | 38.38 |
| 11 | Command-R+ | 31.94 |
Interactive version: theaggregate.ai/benchmark?slug=vector-eval-gpqa-d · How the rankings work · Data refreshed daily, snapshot 2026-07-22.