SeaEval - Cross-Lingual Consistency - Cross-MMLU (Zero-Shot) — leaderboard
Metric: Accuracy (%). Source: huggingface.co. 23 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 2.5 72B Instruct | 81.24 |
| 2 | Qwen 2.5 32B Instruct | 80.19 |
| 3 | Qwen 2 72B Instruct | 77.9 |
| 4 | Llama 3.1 70B Instruct | 76.38 |
| 5 | Llama 3 70B Instruct | 75.81 |
| 6 | Qwen 2.5 14B Instruct | 72.67 |
| 7 | Gemma 2 9B (IT) | 71.62 |
| 8 | Qwen 2.5 7B Instruct | 67.33 |
| 9 | Qwen 2 7B Instruct | 66.29 |
| 10 | SeaLLMs-v3-7B-Chat | 66.29 |
| 11 | Sailor2-8B-Chat | 65.43 |
| 12 | Llama 3.1 8B Instruct | 62 |
| 13 | Llama 3 8B Cpt Sea Lionv2.1 Instruct | 61.14 |
| 14 | Qwen 2.5 3B Instruct | 58.57 |
| 15 | Gemma 2 2B (IT) | 57.81 |
Interactive version: theaggregate.ai/benchmark?slug=seaeval-cross-lingual-consistency-cross-mmlu-zero-shot · How the rankings work · Data refreshed daily, snapshot 2026-07-22.