Chinese artificial intelligence lab Moonshot AI has closed a roughly $2 billion funding round that values the company at $20 billion, according to advisory firm Huafeng Capital. The round was led by Long-Z Investment, the venture arm of Chinese food delivery giant Meituan, with additional backing from Tsinghua Capital, China Mobile, and CPE Yuanfeng.
Moonshot is best known for the Kimi family of open-weight large language models, which have gained serious traction among developers willing to trade a small performance gap for dramatically lower inference costs. Unlike closed frontier models that require expensive API licenses, Kimi's open weights let companies run the model on their own infrastructure, a proposition that has become increasingly attractive as enterprises scale AI workloads.
The Beijing-based startup now claims an annualized recurring revenue run rate above $200 million as of April, driven by rapid growth in paid subscriptions and API usage. That revenue figure is significant because it suggests Moonshot is converting open-source popularity into actual commercial traction, a transition that has eluded many well-funded AI labs.
The latest raise brings Moonshot's total fundraising to approximately $3.9 billion over the past six months alone. Its valuation has climbed at a remarkable pace: the company was reportedly worth $4.3 billion at the end of 2025, then doubled to $10 billion after a $700 million round earlier this year. The new $20 billion price tag puts it in the same tier as some of the most valuable Western AI startups.
Why it matters
The round is the latest evidence that open-source AI is no longer a sideshow to closed frontier models. Enterprises and developers are increasingly treating open-weight models as production-grade infrastructure, and investors are following the capital. For Western buyers, Moonshot's rise also signals that the competitive landscape is becoming genuinely global, not merely a U.S.-China arms race between a handful of well-funded labs. As inference costs continue to dominate AI budgets, Moonshot's approach could reshape how companies think about model procurement and deployment.