EvoEval: leaderboard
EvoEval (arXiv) — HumanEval problems 'evolved' into fresh variants to test coding generalization beyond memorized benchmarks; Pass@1 (%).
Metric: Pass@1 (%). Source: evo-eval.github.io. Saturation forecast: Estimated already saturated. 51 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4 Turbo | 68.63 | #404 |
| 2 | GPT-4 | 68.57 | #438 |
| 3 | ChatGPT | 57.23 | #900 |
| 4 | Claude 3 Haiku | 56.96 | #803 |
| 5 | Magicoder-S-DS-6.7B | 54.48 | #1256 |
| 6 | deepseek-coder-6.7B-instruct | 53.24 | #1335 |
| 7 | Phind-CodeLlama-34B-v2 | 52.13 | #1589 |
| 8 | Claude 2 | 51.68 | #761 |
| 9 | Gemini 1.0 Pro | 48.81 | #933 |
| 10 | Qwen 1.5 72B | 47.52 | #753 |
| 11 | Magicoder-S-CL-7B | 46.75 | #1489 |
| 12 | deepseek-coder-1.3B-instruct | 40.96 | #1585 |
| 13 | Qwen 1.5 14B | 38.71 | #1096 |
| 14 | Phi-2 | 36.6 | #1511 |
| 15 | Qwen-14B | 35.55 | #1171 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=evoeval · How It Works · Data refreshed daily, snapshot 2026-10-20.