Alibaba and Moonshot AI Shift to Revenue-Sharing API Models

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Alibaba and Moonshot AI are shifting to revenue-sharing API models for their AI tools, as reported in AI + crypto news. Moonshot AI launched Kimi K3 on July 27, offering low-cost access with revenue sharing starting at $20 million in annual user revenue. Alibaba plans a similar strategy for its Qwen3.8-Max model. Both aim to support developers while capturing value from large users. On-chain news suggests growing convergence between AI and blockchain ecosystems.

Chinese AI heavyweights Alibaba and Moonshot AI are pivoting to revenue-sharing arrangements that let commercial users access their models at low cost upfront, then collect a cut once the profits start flowing.

How the new deals work

Moonshot AI fired the first shot with its Kimi K3 model, released on July 27. The model is available for researchers and small developers at minimal cost. But once a commercial user crosses $20 million in annual revenue, the terms change significantly.

At that threshold, companies must enter separate negotiations with Moonshot. The revenue share could climb as high as 30%, according to the model’s licensing terms.

Alibaba is reportedly following suit with its upcoming Qwen3.8-Max model. The company is expected to roll out a similar revenue-participation framework, targeting large-scale commercial deployments while preserving accessibility for the broader developer community.

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The pricing strategy carries a deliberate competitive edge. Kimi K3 is priced at roughly one-third the cost of comparable Western models like Anthropic’s Fable. That discount makes the revenue-sharing terms easier to swallow for cloud providers evaluating which models to host.

Cloud giants are already at the table

Moonshot AI has already locked in partnerships with Chinasoft International, which entered a revenue-sharing agreement disclosed on July 20, and DigitalOcean, which secured a commercial deployment deal.

Moonshot is in early-stage discussions with Microsoft Azure, Amazon Web Services, and Google Cloud about hosting Kimi K3. Those conversations reportedly involve negotiating revenue shares that could reach the same 30% ceiling.

Alibaba, meanwhile, has the advantage of owning its own cloud infrastructure through Alibaba Cloud. The company can monetize models hosted on its own platform while extending revenue-participation deals to external users deploying on third-party infrastructure.

Why this matters beyond AI

Goldman Sachs analysts have flagged a broader trend among Chinese AI developers: a growing push to secure more favorable economic terms when their models power commercial products. The revenue-sharing model is the clearest expression of that ambition yet.

The $20 million revenue threshold is low enough to capture mid-size companies building meaningful businesses on these models, but high enough to exclude hobbyists, academics, and early-stage startups. Moonshot and Alibaba want the innovation ecosystem to remain vibrant at the bottom while extracting value at the top.

Cloud providers face their own strategic decisions. Hosting a model priced at one-third of competitors is attractive for customer acquisition. But sharing up to 30% of the revenue generated through that model changes the margin profile entirely. AWS, Azure, and Google Cloud will need to weigh whether the volume advantages of a cheaper model offset the ongoing revenue obligations.

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