Benchmarking Large Language Models for Graphem — leaderboard
Metric: Direct (self-reported). Source: benchmarklist.com. 37 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 8B | 100.15 |
| 2 | Qwen 3.5 2B | 87.3 |
| 3 | Qwen 2.5 7B | 79.39 |
| 4 | glm-4-9B | 57.56 |
| 5 | Gemma 3 4B | 56.69 |
| 6 | Qwen 3.5 4B | 43.98 |
| 7 | GLM-4 32B | 35.62 |
| 8 | Qwen 2.5 32B | 35.48 |
| 9 | Qwen 3 32B | 32.46 |
| 10 | Qwen 3 14B | 32.11 |
| 11 | Gemma 3 12B | 28.77 |
| 12 | Qwen 3.5 9B | 27.47 |
| 13 | Qwen 3.5 35B A3B | 26.93 |
| 14 | Gemma 2 27B | 24.56 |
| 15 | Llama 3.3 70B Instruct | 23.48 |
Interactive version: theaggregate.ai/benchmark?slug=benchmarking-large-language-models-for-graphem · How the rankings work · Data refreshed daily, snapshot 2026-07-22.