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Founder of Moonshot AI Yang Zhilin delivers a speech at a conference of 2026 Zhongguancun forum, in Beijing

Founder of Moonshot AI Yang Zhilin delivers a speech at a conference of 2026 Zhongguancun forum, in Beijing, China March 25, 2026. REUTERS/Tingshu Wang/File Photo Purchase Licensing Rights, opens new tab

  • Summary

  • Companies

  • China's Moonshot launches world's largest open-weight AI model

  • 2.8-trillion-parameter model designed for frontier intelligence

  • Kimi K3 outperforms leading U.S. models, company says

  • Independent benchmarks underscore model's strong capability

  • Release comes as Chinese AI firms narrow gap with U.S. rivals

BEIJING, July 17 (Reuters) - 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The launch, which comes a month after Anthropic's Fable and Mythos models were abruptly withdrawn by the U.S. government due to security concerns, underscores how quickly China's open AI ecosystem is narrowing the gap with the most advanced U.S. systems.

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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.

Kimi K3 "performed competitively with Fable ​5 (with fallback) and substantially outperformed (OpenAI'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 maximise AI hardware utilisation and minimise 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.

FASTER RELEASE CYCLES

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.

Hong Kong-listed MiniMax (0100.HK), opens new tab is also developing its own 2.7-trillion parameter model to be released as soon as the third quarter of 2026, ​and plans to launch its ​frontier-level multimodal model H3 in ⁠the near future, Reuters previously reported.

The race toward trillion-parameter systems reflects growing demand for autonomous systems capable of handling complex reasoning tasks. Leading AI labs are also pursuing systems capable of autonomous self-improvement, a process ​often referred to as recursive self-improvement.

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.

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

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 $2 billion in fresh funding ​at a valuation of about $30 billion ahead of a potential Hong Kong listing.

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

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Laurie Chen

Laurie Chen

Thomson Reuters

Laurie Chen is a China Correspondent at Reuters in Beijing, whose coverage focuses on the nexus of frontier technology, strategic emerging industries and geopolitics. She has reported on China for almost a decade, having previously covered China's government, defence, security and foreign policy. She has broken multiple global scoops on U.S.-China relations and the trade war 2.0, elite Chinese politics and diplomacy. She is particularly interested in Chinese frontier AI, tech and industrial policy, semiconductor supply chains, robotics, aerospace and grand strategy.

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