SeaEval - Cultural Reasoning - SG-Eval v2 Open (Zero-Shot): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 24 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 7B Instruct | 56.56 |
| 2 | SeaLLMs-v3-7B-Chat | 55 |
| 3 | gemma2-9B-cpt-sea-lionv3-instruct | 55 |
| 4 | Sailor2-8B-Chat | 54.36 |
| 5 | Qwen 2 72B Instruct | 54.08 |
| 6 | Gemma 2 9B (IT) | 53.96 |
| 7 | Qwen 2.5 72B Instruct | 53.32 |
| 8 | Qwen 2.5 32B Instruct | 53.2 |
| 9 | Qwen 2.5 14B Instruct | 53.2 |
| 10 | Gemma 2 2B (IT) | 52.08 |
| 11 | Llama 3.1 70B Cpt Sea Lionv3 Instruct | 51.92 |
| 12 | Llama 3.1 70B Instruct | 51.32 |
| 13 | Llama 3 8B Instruct | 51.12 |
| 14 | Llama 3 70B Instruct | 50.6 |
| 15 | Qwen 2.5 7B Instruct | 50.28 |
Interactive version: theaggregate.ai/benchmark?slug=seaeval-cultural-reasoning-sg-eval-v2-open-zero-shot · How It Works · Data refreshed daily, snapshot 2026-09-05.