QIMMA - GAT: leaderboard
Metric: Accuracy (%, log-likelihood multiple choice). Source: huggingface.co. 83 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | AIC-1 | 62.11 |
| 2 | Gemma 4 31B | 60.59 |
| 3 | Qwen 2.5 32B Instruct | 56.94 |
| 4 | gemma-3-27B-pt | 56.45 |
| 5 | AceGPT-v2-32B-Chat | 56.04 |
| 6 | Qwen 2.5 72B Instruct | 55.9 |
| 7 | Qwen 3.5 397B A17B | 55.89 |
| 8 | Qwen3-8B-Base | 55.55 |
| 9 | Gemma 3 27B (IT) | 55.05 |
| 10 | Gemma 4 26B A4B | 52.04 |
| 11 | Jais-2-70B-Chat | 51.67 |
| 12 | Fanar-2-27B-Instruct | 51.52 |
| 13 | AceGPT-v2-32B | 51.4 |
| 14 | Llama 3.3 70B Instruct | 51.13 |
| 15 | Qwen 3.5 122B A10B | 50.9 |
Interactive version: theaggregate.ai/benchmark?slug=qimma-gat · How It Works · Data refreshed daily, snapshot 2026-09-19.