Vector Eval - WinoGrande — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O1 | 93.92 |
| 2 | DeepSeek R1 | 91.79 |
| 3 | Claude 3.5 Sonnet | 90.21 |
| 4 | GPT-4o | 90.13 |
| 5 | Gemini 1.5 Pro | 87.69 |
| 6 | Llama 3.1 70B Instruct | 86.66 |
| 7 | Mistral Large 2 (Jul) | 85.48 |
| 8 | O3 Mini | 84.93 |
| 9 | Gemini 1.5 Flash | 78.85 |
| 10 | GPT-4o Mini | 75.3 |
| 11 | Command-R+ | 74.9 |
Interactive version: theaggregate.ai/benchmark?slug=vector-eval-winogrande · How the rankings work · Data refreshed daily, snapshot 2026-07-22.