SeaEval - Cross-Lingual Consistency - Cross-MMLU (Zero-Shot): leaderboard

SeaEval zero-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. 23 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 72B Instruct81.24#454
2Qwen 2.5 32B Instruct80.19#498
3Qwen 2 72B Instruct77.9#576
4Llama 3.1 70B Instruct76.38#561
5Llama 3 70B Instruct75.81#634
6Qwen 2.5 14B Instruct72.67#647
7gemma2-9B-cpt-sea-lionv3-instruct71.81#705
8Gemma 2 9B (IT)71.62#788
9Qwen 2.5 7B Instruct67.33#862
10Qwen 2 7B Instruct66.29#991
11SeaLLMs-v3-7B-Chat66.29#915
12Sailor2-8B-Chat65.43#782
13Llama 3.1 8B Instruct62#1035
14Llama 3 8B Cpt Sea Lionv2.1 Instruct61.14#1024
15Llama 3 8B Cpt Sea Lionv2 Instruct61.05#1188

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-zero-shot · How It Works · Data refreshed daily, snapshot 2026-10-20.