SeaEval - Cross-Lingual Consistency - Cross-MMLU (Few-Shot): leaderboard
SeaEval few-shot Cross-MMLU evaluation measuring answer accuracy and cross-lingual consistency across English, Chinese, Spanish, Vietnamese, Indonesian, Malay, and Filipino.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Llama 3.1 70B | 74 | #592 |
| 2 | Llama 3.1 8B | 53.05 | #1151 |
| 3 | Llama 3 8B | 52.95 | #1242 |
| 4 | Llama 3 8B Cpt Sea Lionv2 Base | 51.14 | #1182 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=seaeval-cross-lingual-consistency-cross-mmlu-few-shot · How It Works · Data refreshed daily, snapshot 2026-10-20.