{"id":545507,"date":"2026-07-17T04:35:10","date_gmt":"2026-07-17T04:35:10","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/545507\/"},"modified":"2026-07-17T04:35:10","modified_gmt":"2026-07-17T04:35:10","slug":"chinas-moonshot-unveils-worlds-largest-open-ai-model-closing-in-on-us-rivals","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/545507\/","title":{"rendered":"China’s Moonshot unveils world’s largest open AI model, closing in on US rivals"},"content":{"rendered":"\n

By Laurie Chen <\/p>\n

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 \u200cfrontier Fable model. <\/p>\n

The launch, which comes a month after Anthropic’s Fable and Mythos models were abruptly withdrawn by the \u200cU.S. government due to security concerns, underscores how quickly China’s open AI ecosystem is narrowing the gap with the most advanced U.S.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. <\/p>\n

Companies including Moonshot, Z.ai \u200band 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. <\/p>\n

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 \u200cthan earlier generations in a single prompt. <\/p>\n

Kimi \u2060K3 “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<\/a> \u2060hardware utilisation and minimise latency. <\/p>\n

The model has also posted strong results in third-party evaluations. <\/p>\n

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 \u200bcomparable \u200bto OpenAI’s GPT-5.5 and Anthropic’s Claude Opus 4.8, particularly on tests measuring \u200bcomplex, multi-step tasks. <\/p>\n

FASTER RELEASE CYCLES <\/p>\n

Chinese AI firms are \u200caccelerating 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. <\/p>\n

Hong Kong-listed MiniMax 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. <\/p>\n

The race \u200ctoward trillion-parameter systems reflects growing demand for autonomous systems capable of handling \u200bcomplex reasoning tasks. Leading AI labs are also pursuing systems capable of autonomous \u200bself-improvement, a process often referred to as recursive self-improvement. <\/p>\n

Before \u200bKimi K3’s release, Meituan’s LongCat-2.0 and DeepSeek’s V4-Pro led China’s AI industry with 1.6 trillion total parameters, \u200cwhile several other domestic rivals have passed the trillion-parameter \u200bthreshold. <\/p>\n

Open-weight models allow users to \u200bdownload, run and customise the underlying systems, unlike proprietary, closed-source models. <\/p>\n

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. <\/p>\n

Backed by giants like Alibaba and \u200bTencent, Moonshot has been heavily expanding its \u200ccapabilities and capital to remain at the forefront of the AI sector. <\/p>\n

Bloomberg reported last month that the startup \u200bwas seeking $2 billion in fresh funding at a valuation of about $30 billion ahead of a potential Hong Kong \u200blisting. <\/p>\n

(Reporting by Laurie Chen; Editing by Eduardo Baptista and Shri Navaratnam) <\/p>\n","protected":false},"excerpt":{"rendered":"By Laurie Chen BEIJING, July 17 (Reuters) – Chinese AI startup Moonshot on Friday unveiled Kimi K3, a…\n","protected":false},"author":2,"featured_media":545508,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[345,1463,343,344,85,46,247873,125],"class_list":["post-545507","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-anthropic","tag-artificial-intelligence","tag-artificialintelligence","tag-il","tag-israel","tag-parameter-model","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/545507","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=545507"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/545507\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/545508"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=545507"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=545507"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=545507"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}