CRUXEval — leaderboard
Code reasoning benchmark with 800 Python functions. Tests input prediction (given output, predict input) and output prediction (given input, predict output). Simple functions but tricky reasoning.
Metric: Output Prediction pass@1 (%). Source: crux-eval.github.io. Status: saturated. 43 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4 | 77.1 |
| 2 | GPT-4o | 70 |
| 3 | GPT-4 (0613) | 68.7 |
| 4 | GPT-4 Turbo | 67.7 |
| 5 | Claude 3 Opus | 65.8 |
| 6 | GPT-3.5 Turbo | 59 |
| 7 | GPT-3.5 Turbo (0613) | 49.4 |
| 8 | starcoder2-15B | 47.1 |
| 9 | Mixtral 8x7B | 40.5 |
| 10 | starcoder2-7B | 36 |
| 11 | Mistral 7B | 34.3 |
| 12 | starcoder2-3B | 34.2 |
| 13 | Phi-2 | 33.5 |
| 14 | Phi-1.5 | 27.5 |
| 15 | Phi-1 | 21.7 |
Interactive version: theaggregate.ai/benchmark?slug=cruxeval · How the rankings work · Data refreshed daily, snapshot 2026-07-22.