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

SeaEval zero-shot Cross-LogiQA 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 Instruct72.48#454
2Qwen 2.5 32B Instruct69.32#498
3Qwen 2 72B Instruct67.29#576
4Llama 3.1 70B Instruct65.67#561
5Qwen 2.5 14B Instruct64.37#647
6Llama 3 70B Instruct63.07#634
7Gemma 2 9B (IT)61.85#788
8gemma2-9B-cpt-sea-lionv3-instruct60.55#705
9Qwen 2.5 7B Instruct59.9#862
10Qwen 2 7B Instruct56.49#991
11SeaLLMs-v3-7B-Chat55.52#915
12Sailor2-8B-Chat54.06#782
13Llama 3 8B Cpt Sea Lionv2.1 Instruct49.92#1024
14Qwen 2.5 3B Instruct48.78#1162
15Llama 3.1 8B Instruct48.62#1035

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