SeaEval - Cross-Lingual Consistency - Cross-LogiQA (Zero-Shot): leaderboard
Metric: Accuracy (%). Source: huggingface.co. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 72B Instruct | 72.48 |
| 2 | Qwen 2.5 32B Instruct | 69.32 |
| 3 | Qwen 2 72B Instruct | 67.29 |
| 4 | Llama 3.1 70B Instruct | 65.67 |
| 5 | Qwen 2.5 14B Instruct | 64.37 |
| 6 | Llama 3 70B Instruct | 63.07 |
| 7 | Gemma 2 9B (IT) | 61.85 |
| 8 | gemma2-9B-cpt-sea-lionv3-instruct | 60.55 |
| 9 | Qwen 2.5 7B Instruct | 59.9 |
| 10 | Qwen 2 7B Instruct | 56.49 |
| 11 | SeaLLMs-v3-7B-Chat | 55.52 |
| 12 | Sailor2-8B-Chat | 54.06 |
| 13 | Llama 3 8B Cpt Sea Lionv2.1 Instruct | 49.92 |
| 14 | Qwen 2.5 3B Instruct | 48.78 |
| 15 | Llama 3.1 8B Instruct | 48.62 |
Interactive version: theaggregate.ai/benchmark?slug=seaeval-cross-lingual-consistency-cross-logiqa-zero-shot · How It Works · Data refreshed daily, snapshot 2026-09-05.