SeaEval - Multilingual Reasoning - ZBench (Zero-Shot): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 25 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2 7B Instruct | 72.73 |
| 2 | Qwen 2.5 72B Instruct | 69.7 |
| 3 | Qwen 2.5 7B Instruct | 66.67 |
| 4 | Qwen 2.5 14B Instruct | 66.67 |
| 5 | Qwen 2.5 32B Instruct | 60.61 |
| 6 | Qwen 2.5 3B Instruct | 57.58 |
| 7 | Qwen 2 72B Instruct | 57.58 |
| 8 | Llama 3.1 70B Cpt Sea Lionv3 Instruct | 57.58 |
| 9 | SeaLLMs-v3-7B-Chat | 54.55 |
| 10 | Llama 3 70B Instruct | 51.52 |
| 11 | Sailor2-8B-Chat | 51.52 |
| 12 | Llama 3.1 70B Instruct | 48.48 |
| 13 | Gemma 2 9B (IT) | 48.48 |
| 14 | Qwen 2.5 1.5B Instruct | 42.42 |
| 15 | gemma2-9B-cpt-sea-lionv3-instruct | 42.42 |
Interactive version: theaggregate.ai/benchmark?slug=seaeval-multilingual-reasoning-zbench-zero-shot · How It Works · Data refreshed daily, snapshot 2026-09-05.