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CLUEWSC benchmark
AI model leaderboard for the CLUEWSC benchmark. Compare how large language models score on CLUEWSC, see the full ranking, and understand what this AI benchmark measures. Pangu Pro MoE currently leads with 94.7%. Chinese Winograd Schema Challenge — coreference / commonsense in Chinese.
Leaderboard
| # | Model | Organization | Score | Variant | Source |
|---|---|---|---|---|---|
| #1 | Pangu Pro MoE | Huawei | 94.7% | instruct-em | official ↗ |
| #2 | DeepSeek-V3 | DeepSeek | 93.5% | official ↗ | |
| #3 | dots.llm1 | Rednote | 92.6% | EM | official ↗ |
| #4 | Llama 4 Scout | Meta AI | 87.6% | cited-pangu-pro-moe | official ↗ |
Frequently asked questions about CLUEWSC
What is the CLUEWSC benchmark?
Chinese Winograd Schema Challenge — coreference / commonsense in Chinese.
How is the CLUEWSC benchmark scored?
CLUEWSC is scored using the accuracy (%) metric, where a higher score is better. The maximum achievable score is 100.000. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.
Which AI model scores highest on CLUEWSC?
As of the latest reported scores on GenAIList, Pangu Pro MoE achieves the highest result on CLUEWSC with a score of 94.7%.
Is a higher CLUEWSC score better?
Yes. On CLUEWSC a higher score indicates better performance, so models near the top of the leaderboard are the strongest.