China’s Moonshot unveils world’s largest open AI model, closing in on U.S. rivals

Chinese AI startup Moonshot on Friday unveiled Kimi K3, a 2.8 trillion-parameter model that it said is the world’s largest open-weight AI system and delivers performance approaching U.S. giant Anthropic’s frontier Fable model.

The launch, which comes a month after Anthropic’s Fable and Mythos models were abruptly withdrawn by the U.S. government due to security concerns, underscores how quickly China’s open AI ecosystem is narrowing the gap with the most advanced U.S. systems.

Companies including Moonshot, Z.ai and MiniMax are releasing increasingly powerful models at sharply lower cost, challenging long-held assumptions in the West that Chinese developers trail their American peers by months.

Moonshot said Kimi K3 is the first open-weight model to approach the 3 trillion-parameter mark and is designed for advanced reasoning, long-horizon coding and knowledge work. The model features a 1 million-token context window, allowing it to process and retain substantially more information than earlier generations in a single prompt.

Open-weight models allow users to download, run and customize the underlying systems, ​unlike proprietary, closed-source models.

Kimi K3 “performed competitively with Fable 5 (with fallback) and substantially outperformed Anthropic’s Opus 4.8, GPT 5.6 Sol, and GPT 5.5” in terms of GPU kernel optimisation, the company said. The term refers to techniques that maximize AI hardware utilization and minimize latency.

The model has also posted strong results in third-party evaluations.

Arena.ai ranked Kimi K3 first in a benchmark assessing web interface-building capabilities, while Vals AI placed it second overall behind Fable 5 and ahead of GPT-5.6 Sol. Artificial Analysis said the model delivered performance comparable to OpenAI’s GPT-5.5 and Anthropic’s Claude Opus 4.8, particularly on tests measuring complex, multi-step tasks.

The Moonshot news drove shares of domestic AI competitors Zhipu and Minimax sharply in Hong Kong; just before market close, they were down 27.7 per cent and 16.5 per cent, respectively.

Chinese AI firms are accelerating their model release cycles as the global AI race intensifies. The shift follows the debut of Z.ai’s GLM-5.2, which stunned industry observers by scoring near top U.S. closed-source models on benchmark tests, undermining a consensus among Western analysts that Chinese AI models were at least six months behind.

Lian Jye Su, chief analyst at Omdia, said Chinese models were gaining traction because they could be deployed far more cheaply than leading U.S. systems.

“They can be run at a fraction of the cost that OpenAI charges its clients,” he said, but cautioned that Kimi K3’s scale didn’t “doesn’t necessarily mean you have the best performance by default.”

Kimi K3’s size also means few users are likely to host it themselves despite its open-weight release.

Ryan Fedasiuk, a fellow at the American Enterprise Institute, said in a LinkedIn post that running a 2.8 trillion-parameter model locally would require hundreds of thousands of dollars of computing equipment.

Parameters are the internal variables a model learns during training and are often used as a rough measure of scale, though not necessarily capability.

Before Kimi K3’s release, Meituan’s LongCat-2.0 and DeepSeek’s V4-Pro led China’s AI industry ​with 1.6 trillion total ​parameters, while several ⁠other domestic rivals have passed the trillion-parameter threshold.

But a direct comparison with U.S. frontier models is difficult because companies such as Anthropic and OpenAI do not disclose the parameter counts of systems including Fable, Mythos or GPT-5.5.

Moonshot said Kimi K3 incorporates two significant architectural upgrades that improve computing efficiency and enable it to complete long-horizon coding tasks with minimal human supervision.

Backed by giants like Alibaba and Tencent, Moonshot has been heavily expanding its capabilities and capital to remain at the forefront of the AI sector.

Bloomberg reported last month that the startup was seeking US$2 billion in fresh funding at a valuation of about US$30 billion ahead of a potential Hong Kong listing.

Reporting by Laurie Chen; Editing by Eduardo Baptista and Shri Navaratnam