Aleph Alpha research: Chinese models such as Qwen, DeepSeek, and Kimi mostly restate official positions or refuse to answer on sensitive topics

Aleph Alpha used its own benchmark to test Chinese models including Alibaba's Qwen, DeepSeek, and Moonshot's Kimi, covering 967 sensitive topics such as Tiananmen, Taiwan, and Xinjiang. Its self-developed scoring system judged only 17% to 41% of responses as balanced; the rest restated official positions, evaded, or refused to answer. DeepSeek V4 Pro refused to answer two-thirds of the questions, while the comparison models Claude Sonnet 5 and Mistral Small had balanced response rates of 70% and 92%, respectively. The research also said Nvidia Nemotron Cascade 2 showed a similar tendency in 17% of responses, attributed to roughly 3,500 of its 9.3 million training samples being generated by DeepSeek and Qwen.