Moonshot Kimi K3’s U.S. Cloud Gamble: Microsoft Azure, AWS and Google Revenue Sharing, 2.8 Trillion Parameters and the New U.S.–China AI Race | Daily AI Chat

China’s Moonshot AI is negotiating with Microsoft, Amazon and Google over a potentially groundbreaking arrangement that could bring its Kimi K3 model to the world’s largest U.S. cloud platforms. In this episode of The Daily AI Chat, we examine why the proposed revenue-sharing deals matter for enterprise artificial intelligence, open-weight models and the intensifying technology competition between the United States and China.

Source: Reuters, August 26, 2026.

Reporting by Liam Mo in Beijing and Fanny Potkin in Singapore. Editing by Eduardo Baptista, Miyoung Kim and Edwina Gibbs.

According to Reuters, Moonshot is in early discussions that would allow Microsoft Azure, Amazon Web Services and Google Cloud to host Kimi K3. The startup is seeking as much as 30% of the revenue generated from K3-related cloud services. If completed, one of these agreements could become the first major revenue-sharing pact between a Chinese AI developer and a leading American cloud company.

The commercial logic is compelling. Kimi K3 is an open-weight model, meaning organizations can download and modify it, but its reported 2.8 trillion parameters make it extraordinarily expensive to operate. Few enterprises can supply the computing infrastructure needed to run a model of that scale. Azure, AWS and Google Cloud offer the global capacity, customer relationships, billing systems and technical support that could turn Kimi K3 from an impressive downloadable model into a widely used enterprise service.

We explain the unresolved business questions at the center of the talks: how revenue would be divided, what data each party could access, and how token usage would be audited. Tokens are the units of text processed by AI models, so accurate token accounting is essential for usage-based billing. The answers could establish a template for how open-weight AI developers monetize their models through third-party clouds.

Kimi K3 has attracted attention because of strong third-party benchmark results. Arena.ai ranked the model first in a test of web interface-building capability, while Artificial Analysis said it performs comparably to OpenAI’s GPT-5.5 and Anthropic’s Claude Opus 4.8 on complex, multi-step work. Its combination of high performance and lower pricing highlights why Chinese AI models are gaining attention among developers and enterprise buyers.

But this is not an ordinary cloud partnership. The negotiations are unfolding during heightened U.S.–China tension over advanced artificial intelligence, semiconductor exports and national security. Washington has restricted sales of advanced AI chips to China, and U.S. officials have criticized Moonshot over allegations involving Anthropic’s Fable model and Nvidia hardware. Moonshot has rejected claims that Kimi K3’s gains came from distillation, saying its performance is based on original architectural changes.

That creates a striking policy contradiction: American officials are debating tougher restrictions on Chinese AI firms while American cloud companies are exploring ways to sell those firms’ models to global customers. We consider whether commercial demand can coexist with export controls, data-security requirements and potential trade blacklists—and what safeguards cloud providers might need before hosting a Chinese frontier model.

For listeners following generative AI, cloud computing, Microsoft Azure, Amazon Web Services, Google Cloud, open-source and open-weight models, U.S.–China technology policy, AI chips, enterprise software or artificial intelligence investing, this Deep Dive provides the context behind one of today’s most consequential AI business stories.

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