MLCR-AA - Accuracy: leaderboard
Metric: Accuracy (%). Source: artificialanalysis.ai. 84 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-6 (Max) | 98.28 |
| 2 | GPT-5.6 Terra (Max) | 93.68 |
| 3 | GPT-5.6 Sol (Max) | 92.53 |
| 4 | Qwen 3.8 Max | 89.88 |
| 5 | GPT-5.6 Sol (xHigh) | 89.66 |
| 6 | Qwen 3.8 27B (xHigh) | 89.29 |
| 7 | Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | 89.02 |
| 8 | GPT-5.6 Terra (xHigh) | 88.89 |
| 9 | GPT-5.5 (xHigh) | 87.36 |
| 10 | GPT-5.6 Sol (High) | 86.29 |
| 11 | GPT-5.6 Sol (Medium) | 85.23 |
| 12 | Kimi K3 (Max) | 84.97 |
| 13 | GPT-5.6 Terra (High) | 84.97 |
| 14 | Claude Sonnet 5 (Adaptive Reasoning, Max Effort) | 84.12 |
| 15 | GPT-5.6 Terra (Low) | 83.14 |
Interactive version: theaggregate.ai/benchmark?slug=mlcr-aa-accuracy · How It Works · Data refreshed daily, snapshot 2026-09-19.