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

SeaEval zero-shot Cross-XQuAD 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. 21 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 72B Instruct96.83#454
2Llama 3.1 70B Instruct96.16#561
3Qwen 2 72B Instruct96.13#576
4Llama 3 70B Instruct95.92#634
5Qwen 2.5 14B Instruct95.82#647
6gemma2-9B-cpt-sea-lionv3-instruct95.74#705
7Gemma 2 9B (IT)95.67#788
8Qwen 2.5 7B Instruct94.6#862
9Qwen 2 7B Instruct94.18#991
10SeaLLMs-v3-7B-Chat94.03#915
11Llama 3.1 8B Instruct93.8#1035
12Qwen 2.5 3B Instruct93.78#1162
13Llama 3 8B Cpt Sea Lionv2 Instruct93.66#1188
14Llama 3 8B Cpt Sea Lionv2.1 Instruct93.61#1024
15Llama 3 8B Instruct92.1#1129

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