The split goes deeper than technology choices. “Western AI leaders are optimizing for shareholder return, compliance insulation, and platform lock-in through closed API-delivered models. In contrast, Chinese vendors like RedNote and DeepSeek are aggressively open-sourcing to expand national influence, cultivate developer mindshare, and drive localization-led adoption,” Gogia explained.
Performance vs. purpose
So, how does RedNote’s AI stack up? According to another detailed document on Github, dots.llm1 scored 56.7 on C-SimpleQA, a test of Chinese language skills — not quite as high as DeepSeek-V3’s 68.9, but respectable for a newcomer.
However, some analysts question whether RedNote is playing to its strengths. “Rednote, which has pioneered content-driven commerce, is well-positioned to build a large model based on the ton of data its ecosystem generates,” said Neil Shah, VP for research and partner at Counterpoint Research. “However, in this race of LLMs, Rednote would be better off building a more targeted model to drive AI-driven commerce sitting on a gold mine of data around users’ likes, dislikes, purchase behaviours, etc.”
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