Vector Eval - ARC-C: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 12 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | O1 | 97.87 |
| 2 | Claude 3.5 Sonnet | 96.93 |
| 3 | DeepSeek R1 | 96.67 |
| 4 | O3 Mini | 96.42 |
| 5 | GPT-4o | 96.33 |
| 6 | Gemini 1.5 Pro | 96.33 |
| 7 | Qwen3 Coder Next | 96.16 |
| 8 | Llama 3.1 70B Instruct | 94.45 |
| 9 | Mistral Large 2 (Jul) | 94.37 |
| 10 | Gemini 1.5 Flash | 93.09 |
| 11 | GPT-4o Mini | 92.49 |
| 12 | Command-R+ | 85.07 |
Interactive version: theaggregate.ai/benchmark?slug=vector-eval-arc-c · How It Works · Data refreshed daily, snapshot 2026-09-05.