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Nvidia CEO says ban Chinese open-source AI models — embrace them instead

Nvidia CEO says ban Chinese open-source AI models — embrace them instead

3 Key Points

  1. What happened

    Jensen Huang told Axios on Tuesday that the U.S. should not ban Chinese open-source AI models like Kimi K3 from Moonshot AI, DeepSeek, and Alibaba. He called these models "excellent" and said they should be used, rejecting claims that they could serve as a backdoor for Chinese government surveillance.

  2. Why it matters

    The White House has reportedly considered using executive power to restrict U.S. companies' use of Chinese AI models, fearing surveillance risk or threat to American AI companies. Huang's argument — that open-source models and closed models like OpenAI's GPT-5.6 Sol should coexist — directly challenges that policy direction as Washington panics over low-cost Chinese alternatives that can now compete with top American products.

  3. What to watch

    Kimi K3, released July 16, costs $15 per 1 million output tokens, compared with $50 for Anthropic's Fable 5 and 87 cents for DeepSeek V4. The pricing gap and Kimi K3's ability to compete in coding tests against Fable 5 illustrate why U.S. companies like Cursor are increasingly adopting Chinese open-source models to cut costs.

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Context & Analysis

Huang's intervention represents a striking contrast to the escalating anxiety in Washington over Chinese AI capabilities. The White House has reportedly explored executive action to impose security conditions and liability requirements on U.S. companies using Chinese models, driven partly by surveillance concerns and partly by worry that low-cost alternatives could undercut homegrown AI businesses. Kimi K3's release last week — capable enough to compete with Anthropic's top public model — crystallized those fears.

Huang's rebuttal centers on two claims: first, that open-source models are not inherently a security risk (they are downloadable and customizable, not a covert vector), and second, that Chinese and American models can coexist productively. His logic is blunt economic self-interest: more AI use anywhere means more compute demand, and Nvidia supplies the chips that run all AI, whether open or closed. The gap in pricing — Kimi K3 at $15 per million tokens versus Fable 5 at $50 — explains why companies are switching, and Huang's position effectively acknowledges that restriction would be economically futile and strategically backward.

FAQ
What are the main cost differences between Kimi K3 and U.S. models?
Kimi K3 costs $15 per 1 million output tokens, compared with $50 for Anthropic's Fable 5 and 87 cents for DeepSeek V4.
When was Kimi K3 released?
Kimi K3 was released on July 16.
What is Jensen Huang's argument for allowing Chinese open-source models?
Huang said the world needs both open-source and closed models, and that allowing open-source models will increase AI use, which will drive demand for Nvidia hardware and expand the technology into more industries.

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