Vector Eval - ARC-E — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4o | 99.16 |
| 2 | Claude 3.5 Sonnet | 99.16 |
| 3 | O1 | 99.12 |
| 4 | Gemini 1.5 Pro | 98.78 |
| 5 | DeepSeek R1 | 98.74 |
| 6 | Mistral Large 2 (Jul) | 98.53 |
| 7 | Gemini 1.5 Flash | 98.4 |
| 8 | Llama 3.1 70B Instruct | 98.23 |
| 9 | GPT-4o Mini | 97.94 |
| 10 | O3 Mini | 97.56 |
| 11 | Command-R+ | 93.77 |
Interactive version: theaggregate.ai/benchmark?slug=vector-eval-arc-e · How the rankings work · Data refreshed daily, snapshot 2026-07-22.