Model Accuracy vs Pass@3
100%
75%
50%
25%
0%
Deepseek-V3.2
Grok-4.1-fast
GPT-5.1 (high)
Claude-Opus-4.5
Gemini-3-Pro-Preview
K-EXAONE-236B-A23B
Solar-Open-100B
Accuracy
Pass@3
Avg Token Usage (Per Problem)
23.4K
17.6K
11.7K
5.9K
0
Solar-Open-100B
Grok-4.1-fast
Gemini-3-Pro-Preview
K-EXAONE-236B-A23B
Deepseek-V3.2
Claude-Opus-4.5
GPT-5.1 (high)
Avg Tokens / Problem
EntropyMath is an evolutionary multi-agent system and benchmark that generates high-entropy math problems designed to systematically break current LLMs. The EntropyMath_Open_10 benchmark contains derivative problems generated from the seed set. This dataset tests the model's robustness and generalization ability by presenting variations of known problem distributions, ensuring that performance is not merely due to memorization.
Results are reported using Pass@3 metrics to account for generation variance. Detailed execution traces are available for transparency.
Performance Legend
Mastery (100%)
3/3
Strong (66%)
2/3
Weak (33%)
1/3
Fail (0%)
0/3
Leaderboard / Open · 10 problems
Change benchmark ↑Scroll horizontally to see all problems. Select a result cell to view the problem and recorded response.
| Model | Acc | Pass@3 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| API / Others | ||||||||||||
Deepseek-V3.2 | 100.0 | 100.0 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 |
Grok-4.1-fast | 93.3 | 100.0 | 3/3 | 3/3 | 2/3 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 2/3 | 3/3 |
GPT-5.1 (high) | 93.3 | 100.0 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 2/3 | 3/3 | 3/3 | 2/3 | 3/3 |
Claude-Opus-4.5 | 90.0 | 100.0 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 3/3 | 2/3 | 3/3 | 1/3 | 3/3 |
Gemini-3-Pro-Preview | 90.0 | 100.0 | 3/3 | 2/3 | 2/3 | 3/3 | 3/3 | 3/3 | 2/3 | 3/3 | 3/3 | 3/3 |
| K-LLM Project · 2차 평가 (Round 2) | ||||||||||||
K-EXAONE-236B-A23B | 86.7 | 100.0 | 2/3 | 3/3 | 2/3 | 3/3 | 3/3 | 2/3 | 2/3 | 3/3 | 3/3 | 3/3 |
Solar-Open-100B | 66.7 | 80.0 | 2/3 | 2/3 | 0/3 | 3/3 | 3/3 | 3/3 | 2/3 | 3/3 | 0/3 | 2/3 |


