WeirdML
Unusual machine-learning tasks that require writing working training code.
- Published by
- WeirdMLdata via Epoch AI Benchmarking Hub
- Category
- Coding
- Index weight
- 0.5
- Models
- 150
- Data as of
- 9 Sept 2026
CC BY 4.0 — Epoch AI, ‘AI Benchmarking Hub’, epoch.ai/benchmarks. Mirrored boards credit their original publishers.
- 1Claude Fable 5.192.9%
- 2GPT-6 Astra92.9%
- 3Claude Fable 5.192.3%
- 4Claude Fable 591.9%
- 5Claude Opus 591.8%
- 6Claude Opus 591.6%
- 7GPT-5.6 Sol89.4%
- 8GPT-5.6 Sol88.8%
- 9Claude Fable 587.8%
- 10GPT-5.6 Sol87.0%
- 11Claude Opus 586.3%
- 12GPT-5.584.9%
- 13GPT-5.583.9%
- 14Claude Opus 4.882.9%
- 15Kimi K382.6%
150 of 150
| # | |||||
|---|---|---|---|---|---|
| 1 | 92.9% | – | 70.2 | – | |
| 2 | 92.9% | – | 69.5 | – | |
| 3 | 92.3% | – | 69.7 | – | |
| 4 | 91.9% | – | 65.8 | – | |
| 5 | 91.8% | – | 66.8 | – | |
| 6 | 91.6% | – | 69.3 | – | |
| 7 | 89.4% | – | – | – | |
| 8 | 88.8% | – | 68.0 | – | |
| 9 | 87.8% | – | 63.9 | – | |
| 10 | 87.0% | – | 65.5 | – | |
| 11 | 86.3% | – | 70.0 | – | |
| 12 | 84.9% | – | 63.7 | – | |
| 13 | 83.9% | – | 66.3 | – | |
| 14 | 82.9% | – | – | – | |
| 15 | 82.6% | – | 62.7 | – | |
| 16 | 79.3% | – | 62.4 | – | |
| 17 | 78.3% | – | 63.1 | – | |
| 18 | 78.0% | – | 61.3 | – | |
| 19 | 77.9% | – | 63.1 | – | |
| 20 | 77.9% | – | – | – | |
| 21 | 77.7% | – | 61.3 | – | |
| 22 | 76.4% | – | 61.3 | – | |
| 23 | 76.4% | – | 65.5 | – | |
| 24 | 76.0% | – | – | – | |
| 25 | 75.5% | – | 59.3 | – | |
| 26 | 75.4% | – | 59.9 | – | |
| 27 | 72.2% | – | 57.3 | – | |
| 28 | 72.1% | – | 63.9 | – | |
| 29 | 70.5% | – | – | – | |
| 30 | 70.1% | – | 57.6 | – | |
| 31 | 69.9% | – | 61.6 | – | |
| 32 | 68.8% | – | 60.5 | – | |
| 33 | 67.3% | – | – | – | |
| 34 | 67.3% | – | 58.7 | – | |
| 35 | 67.2% | – | 56.2 | – | |
| 36 | 66.2% | max, 0813 | 56.1 | – | |
| 37 | 66.1% | – | 51.8 | – | |
| 38 | 63.7% | – | 58.0 | – | |
| 39 | 63.4% | – | 58.5 | – | |
| 40 | 63.0% | max, 0731 | 54.7 | – | |
| 41 | 62.6% | – | 60.4 | – | |
| 42 | 61.6% | – | 56.6 | – | |
| 43 | 60.9% | – | 58.1 | – | |
| 44 | 60.8% | – | 53.8 | – | |
| 45 | 60.7% | – | 54.5 | – | |
| 46 | 60.4% | – | – | – | |
| 47 | 60.3% | – | 61.3 | – | |
| 48 | 60.3% | – | 52.9 | – | |
| 49 | 58.2% | – | 54.4 | – | |
| 50 | 57.4% | – | 53.7 | – | |
| 51 | 57.4% | – | – | – | |
| 52 | 57.1% | glm-5.1 | 60.1 | – | |
| 53 | 57.0% | high, 0731 | 59.3 | – | |
| 54 | 56.1% | – | 58.6 | – | |
| 55 | 55.9% | kimi-k2.6 | 60.6 | – | |
| 56 | 54.5% | – | 58.1 | – | |
| 57 | 54.5% | – | – | – | |
| 58 | 54.1% | – | 56.2 | – | |
| 59 | 54.0% | – | 54.1 | – | |
| 60 | 52.7% | – | 52.3 | – |