{"id":3644,"date":"2026-07-17T23:12:19","date_gmt":"2026-07-17T23:12:19","guid":{"rendered":"https:\/\/crosscountrymovingteams.com\/?p=3644"},"modified":"2026-07-17T23:12:19","modified_gmt":"2026-07-17T23:12:19","slug":"markets-may-have-just-experienced-their-second-deepseek-shock-this-time-thanks-to-a-chinese-ai-lab-named-after-a-pink-floyd-album","status":"publish","type":"post","link":"https:\/\/crosscountrymovingteams.com\/?p=3644","title":{"rendered":"Markets may have just experienced their second DeepSeek shock, this time thanks to a Chinese AI lab named after a Pink Floyd album"},"content":{"rendered":"
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Kimi K3, the largest open-weight model ever released, performed \u201ccompetitively\u201d with Fable 5, and \u201csubstantially outperformed\u201d Anthropic\u2019s Opus 4.8, and OpenAI\u2019s GPT 5.6 Sol, according to Moonshot. The company\u2019s officially-released benchmarks consistently rank K3 among the top three AI models; one independent benchmark from Arena.AI even put K3 as the best model currently available, ahead of Anthropic.<\/p>\n

Read more After the Supreme Court killed his first tariffs, Trump turns to a new legal workaround to impose 25% tariffs on Brazil and possibly others<\/a><\/p>\n

Many observers, including Anthropic CEO Dario Amodei, didn\u2019t expect a Chinese AI lab to release a model that could approach the U.S.\u2019s best offerings for another six months. Tesla CEO Elon Musk, for example, suggested it might happen by the first quarter of next year. K3\u2019s launch rapidly shrank that timeline and underscores just how quickly Chinese AI developers are closing the performance gap with their U.S. rivals.\u00a0<\/p>\n

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\u201cThe AI ecosystem in China is probably much better than people thought,\u201d says Paul Triolo, a partner at DGA-Albright Stonebridge Group.<\/p>\n

Moonshot AI has priced K3 at $15 per million output tokens, the bits of information processed and generated by a large language model. That\u2019s cheaper than Fable 5, which costs $50 for the same level of output.<\/p>\n

Moonshot\u2019s launch seemed to rattle investors who interpret the new model as undermining the conventional wisdom that U.S. firms can maintain their extended lead by simply outspending Chinese competitors on computing power.<\/p>\n

A semiconductor selloff was already underway, but the K3 debut seemed to make things worse. Leading chipmaker Taiwan Semiconductor Manufacturing Company fell by 7% on Friday, despite reporting a 77% jump in quarterly operating profit. SoftBank\u2014often seen as a proxy for OpenAI\u2014fell by 9.0%. Z.ai, a Chinese AI startup that has released a competing model to Moonshot\u2019s Kimi, plunged by almost 30% in Hong Kong trading.<\/p>\n

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Fear has spread into U.S. markets, with the Nasdaq 100 down by 1.0% as of 2:00pm Eastern time. Nvidia shares fell by 1.2%, briefly forfeiting the chipmaker\u2019s lead as the world\u2019s most valuable company to Apple. Meta shares plunged by over 2.4%.<\/p>\n

China\u2019s AI sector includes both established tech companies, like Alibaba and ByteDance; smaller startups like DeepSeek, MiniMax, and z.ai; and even dark horse entrants like phonemaker Xiaomi and food delivery platform Meituan.\u00a0<\/p>\n

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Moonshot AI is one of the upstarts. Founded in 2023, its Chinese name comes from Pink Floyd\u2019s album The Dark Side of the Moon, <\/em>which is founder Yang Zhilin\u2019s favorite album. The company is backed by Alibaba, Tencent, and Meituan, as well as HSG (formerly Sequoia China); it\u2019s reportedly considering an IPO in Hong Kong.\u00a0<\/p>\n

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This is Moonshot\u2019s second time in the spotlight this year. Earlier Kimi models, notably K2.5 and K2.6, gained traction among Silicon Valley developers by offering strong coding performance at meaningfully lower cost than Anthropic\u2019s Claude. In March, U.S. coding assistant maker Cursor acknowledged that its Composer 2 agent ran on top of Kimi 2.5.<\/p>\n

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It\u2019s now taking its turn as China\u2019s AI leader, a position that\u2019s changed hands repeatedly this year.<\/p>\n

In April, DeepSeek unveiled V4, its long-awaited update to last year\u2019s V3 model. While V4 didn\u2019t shock markets quite as much as its predecessor, it still offered frontier-level performance at rock-bottom prices\u2014currently $0.87 for a million tokens of output\u2014and its ability to be run on Huawei-made processors.<\/p>\n

Fellow AI startup z.AI followed up in mid-June, with the release of its GLM-5.2 model. The Beijing-based startup announced the model just days after U.S. officials briefly disrupted access to Anthropic\u2019s Fable and Mythos models for some users outside the United States and for foreign nationals. \u201cFrontier intelligence should not belong to only a few people, nor be subject to withdrawal by a handful of rules at any moment,\u201d the company wrote in a social media post announcing GLM\u20115.2.\u00a0<\/p>\n

Even China\u2019s consumer\u2011internet giants are getting into the frontier race. Meituan launched its own LongCat 2.0 model last month and revealed that it trained the system entirely on Chinese\u2011made semiconductors rather than U.S. chips.\u00a0<\/p>\n

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\u201cThe idea that Meituan could train a 1.6 trillion-parameter model on domestic hardware would have been inconceivable in October 2022,\u201d Triolo says, referring to the month when the U.S. launched sweeping export controls designed to slow China\u2019s access to advanced AI chips.<\/p>\n

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Chinese AI has earned a global following by being systematically cheaper than the U.S. competition. DoorDash, for example, is pushing \u201clower-level work\u201d to Moonshot\u2019s Kimi model, leading to \u201cbetter quality, cheaper cost,\u201d according to chief technology officer Andy Fang.<\/p>\n

Chinese systems routinely dominate the weekly leaderboards on OpenRouter, a popular marketplace that lets developers mix and match models from different providers. As of this week, all of the top five most-used models are from Chinese companies: Tencent, Xiaomi, DeepSeek, MiniMax, and z.ai.<\/p>\n

Power costs in China are lower than in many parts of the U.S., in part because the country has made massive investments into power generation and transmission, making it easier to add data\u2011center capacity. New data centers in the U.S., however, often face political resistance due to perceived strain on grids and water use.<\/p>\n

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Chinese AI companies are also willing to sacrifice profit margins in a bid to capture market share and establish their models as a de facto <\/em>standard.\u00a0<\/p>\n

Ironically, U.S. export controls\u2014designed to hold China\u2019s AI sector back\u2014may also be a factor behind the low price of Chinese AI models. Without access to the most powerful AI processors, domestic labs were forced to squeeze more performance out of less capable hardware.\u00a0<\/p>\n

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\u201cLabs are so compute-constrained, capital-constrained, and talent-constrained that a lot of them are being cautious in how they use their resources,\u201d says Grace Shao, an AI analyst and author of the AI Proem newsletter.\u00a0<\/p>\n

Most recent Chinese AI models are also now compatible with cheaper, locally-made processors. \u201cFor the money [a Chinese AI company would] spend on an Nvidia chip, they can buy ten local chips from Huawei or other local chipmakers,\u201d says George Chen, a partner at the Asia Group.<\/p>\n

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Perhaps most importantly, Chinese companies have embraced the open-source movement, releasing their models for free. Almost all Chinese companies release their work under licenses that allow users to download models for free, run them on local hardware, and fine-tune them.\u00a0<\/p>\n

This allows third-party providers, including those in the U.S., to host Chinese models for free. The only costs that matter, in that case, are \u201cGPUs and energy,\u201d says Ameya Karnitkar, co-founder of Larridin, an AI measurement platform. \u201cAnthropic adds the additional costs of their R&D, and their own inference costs.\u201d<\/p>\n

On July 17, at the World Artificial Intelligence Conference in Shanghai, China President Xi Jinping affirmed that the country will remain committed to releasing models on an open-source basis.\u00a0<\/p>\n

\u201cWe must seize this rare historic opportunity, encourage open source, openness, cooperation, and sharing, and comprehensively promote AI technological innovation, industrial development, and scenario-based applications,\u201d Xi told conference attendees.\u00a0<\/p>\n

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He also added a dig against Washington\u2019s attempt to slap controls on the release of frontier models.<\/p>\n

\u201cWe should jointly oppose the practice of overstretching the concept of national security in the field of AI or placing one country\u2019s own security above the security of others.\u201d<\/p>\n

Read more Broadcast networks wrestle with whether to air Trump\u2019s conspiracy theories or get sanctioned for dropping him<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

K3 might undermine the conventional wisdom that U.S. firms can maintain their extended lead by simply outspending Chinese competitors on computing power.<\/p>\n","protected":false},"author":1,"featured_media":3643,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[114],"tags":[],"class_list":["post-3644","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-china"],"yoast_head":"\nMarkets may have just experienced their second DeepSeek shock, this time thanks to a Chinese AI lab named after a Pink Floyd album - Cross Country Moving Team<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/crosscountrymovingteams.com\/?p=3644\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Markets may have just experienced their second DeepSeek shock, this time thanks to a Chinese AI lab named after a Pink Floyd album - 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