China's AI models close to four months behind OpenAI and Anthropic

China's AI startups have narrowed the quality gap faster than many expected. Moonshot's Kimi K3, described as the world's largest open-weight model, has approached the performance of America's frontier systems, and analysts now put the best Chinese models just four months behind the most sophisticated releases from OpenAI and Anthropic—compared to seven months at the start of the year. Usage has shifted too: Chinese models went from 1.2% of token traffic in 2024 to more than half of the total by the summer of 2026.

But the body argues the bigger constraint is capital, not capability. Policy-driven funds tend to prioritize later-stage startups, early-stage venture capital is only just recovering from a three-year fundraising drought, and state banks are absorbing rising non-performing loans elsewhere on their books, which could weaken overall credit supply. Meanwhile Chinese enterprise software firms sell mainly into the domestic market, limiting their revenue base, while U.S. rivals have a global customer base, stronger brand recognition and deeper R&D budgets.

The outcome hinges on whether new funding channels can fill the gap. Hong Kong's capital markets are positioned as one of the few channels still capable of moving global capital toward Chinese enterprise at scale, with more than 430 applicants in the IPO pipeline in the second half of 2026, and private credit is another route—though these loan providers tend to prioritize bigger or established companies. Whether Chinese founders can use public listings, private credit, customer revenue sharing or their equity as collateral may determine whether they keep pace, or fall further behind.