MetroLLM-Bench: leaderboard
Metric: Composite score (238 held-out cases, higher is better). Source: continker.ai. 21 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Muse Glimmer 30B | 92.03 |
| 2 | Qwen 3.8 27B | 91.83 |
| 3 | Qwen 3.6 27B | 91.28 |
| 4 | Qwen 3.5 27B | 90.6 |
| 5 | GPT-5.6 Luna (Medium) | 90.57 |
| 6 | GPT-5.4 (xHigh) | 90.45 |
| 7 | Qwen 3.5 35B A3B | 89.9 |
| 8 | GPT-5.6 Sol (xHigh) | 89.82 |
| 9 | GPT-5.4 (High) | 88.2 |
| 10 | Qwen 3.5 9B | 88.05 |
| 11 | Mistral Small 4 | 87.82 |
| 12 | GPT-5.4 (Medium) | 87.72 |
| 13 | Qwen 3.5 4B | 87.25 |
| 14 | GLM-4.7 Flash | 86.73 |
| 15 | GPT-5.4 Nano | 86.58 |
Interactive version: theaggregate.ai/benchmark?slug=metrollm-bench · How It Works · Data refreshed daily, snapshot 2026-09-19.