Chinese AI models are largely open source not for ideological reasons, but as a pragmatic branding strategy. Open-sourcing their models was necessary to build trust and credibility with Western developers who might otherwise be skeptical of closed, proprietary Chinese technology.

China's strategy for AI dominance is not to build superior models, but to proliferate its own cheap, open-weight AI models globally. By offering free technology and training, especially in the Global South, China aims to establish its standards and geopolitical influence.

The flood of free, high-quality AI models from China is a strategic response to a weak domestic economy where companies are reluctant to pay for SaaS. By open-sourcing their models, Chinese AI labs gain global influence and find monetization paths unavailable in their home market, where they struggle to charge for their software.

According to Together AI's CEO, China's leadership in open-source AI is a function of market structure, not a philosophical preference. The market is organized around open models, with companies competing by building APIs and applications on top, creating a different game-theoretic equilibrium than the closed-model US market.

Counterintuitively, China leads in open-source AI models as a deliberate strategy. This approach allows them to attract global developer talent to accelerate their progress. It also serves to commoditize software, which complements their national strength in hardware manufacturing, a classic competitive tactic.

China's push for open-weight models is not just ideological but a strategic necessity. Lacking compute for large-scale inference and facing a tough market for their closed models, open-sourcing is a way to gain traction, talent, and influence where US controls have limited them.

Contrary to expectations of a closed system, authoritarian China has taken the lead in developing the world's best open-source AI models. This may be a deliberate strategy to accelerate its progress by attracting a global community of developers to build on its platforms.

China is pursuing an open-source AI strategy analogous to how Google's Android created an alternative to Apple's closed iOS. By fostering a broad ecosystem, they aim to achieve mass market penetration and compete with dominant, closed-source US models, even with hardware constraints.

Chinese AI labs are following a playbook perfected by OpenAI. They initially release open-source models to attract developers and accelerate learning. Once they approach the performance of frontier models, they switch to a closed-source strategy to monetize and capture the value.