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Chinese AI models sweep top spots in major rankings as open source, cost advantages drive overseas adoption despite US tech restrictions: expert_我的网站

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Chinese artificial intelligence (AI) technology companies are gaining a growing foothold among international users, with their models topping rankings on some leading industry platforms, ahead of their US counterparts.
Chinese AI companies, with their open-source strategies and cost effectiveness, are gaining growing adoption among overseas developers despite the continued US restrictions on China's access to advanced chips and AI technologies, a Chinese veteran industry analyst said, noting that global AI competition should be about innovation capabilities and the ability to build attractive ecosystems, rather than about who can erect higher technological barriers.
The latest weekly large-language model (LLM) rankings from AI model aggregation platform OpenRouter showed that models developed by Chinese companies swept the top four spots and took six of the top 10, the Global Times noted on the platform on Tuesday. DeepSeek V4 Flash 0731 topped the ranking with 9.39 trillion tokens in usage, followed closely by Tencent's Hy3 with 8.94 trillion.
From August 3 to Sunday, Chinese AI models recorded 34.25 trillion tokens in usage, up 21.76 percent from the previous week, while US AI models, although up 109.36 percent, only recorded 9.17 trillion tokens, about three times less than that of Chinese models.
Another DeepSeek model, V4 Flash 0423, came in third, followed by Xiaomi's MiMo-V2.5 in fourth place. Zhipu AI's GLM 5.2 and DeepSeek V4 Pro also made the top 10.
Notably, usage of the top-ranked DeepSeek V4 Flash 0731 surged 302 percent over the week. The rankings are based on actual model usage on OpenRouter, highlighting the growing adoption of Chinese AI models among global developers and their strong presence on the platform, Xiang Ligang, director-general of the Zhongguancun Modern Information Consumer Application Industry Technology Alliance, told the Global Times on Tuesday.
Meanwhile, the latest trending rankings on Hugging Face, the world's largest open-source AI community, also highlighted the growing influence of Chinese AI models among global developers. As of Tuesday, four of the top five models on the platform's Trending Models list were linked to Chinese AI companies, with MiniMax's newly released full modality model MiniMax H3 topping the ranking.
One key reason Chinese AI models are gaining popularity is their combination of strong performance, lower costs and greater openness, Chinese experts said.
"Companies such as DeepSeek, MiniMax and Zhipu AI have released open-weight models that developers can download, customize and use to build their own applications. Many Chinese models also come with relatively low API and inference costs, making them more affordable for start-ups and smaller businesses," Xiang said.
According to UBS estimates cited by media reports, leading Chinese AI models cost about one-tenth as much to train as comparable overseas models, while their API prices are typically only 10 percent to 20 percent of those of foreign alternatives.
"China's strong industrial foundation in power supply, computing infrastructure and data center development also provides solid support for the large-scale deployment of AI," said Xiang.
In contrast to many large US AI companies that primarily offer their flagship models through closed platforms and application programming interfaces, China's are gaining traction among global developers with its open model approach, Ma Jihua, a veteran industry analyst, told the Global Times on Tuesday.
The open model approach allows a much broader range of developers, including smaller players, to participate in AI development rather than leaving advanced AI capabilities concentrated in the hands of a few large companies, said Ma. As more developers build on these models, they can create new tools and applications, further expanding the ecosystem around Chinese AI models, Ma added.
China's recently released Action Plan for Global AI Governance explicitly encourages the joint development of international open-source AI communities, greater international exchanges and cooperation among open-source communities, and the sharing of general purpose large models, foundational algorithms and software tools.
Recently, the US government has ramped up its unilateral moves targeting China's AI-related sector, including a plan to ban cutting-edge Chinese AI models, US media outlets have reported.
The growing influence of Chinese AI models shows that technological blockades cannot hold back innovation and industrial development, Ma said, noting that such restrictions could instead backfire by raising costs for US companies and limiting their access to competitive technologies and global AI cooperation.
Chinese AI models are already seeing growing adoption among US businesses. Chinese AI models now consistently account for more than 30 percent of weekly token usage by US companies, with the share peaking at 46 percent, the People's Daily reported, citing data from a third party industry platform.
The US should view the development of China's AI industry objectively, and avoid politicizing or overstretching the concept of national security in normal technological and industrial competition, Ma said.
"After all, global AI competition should ultimately be about innovation and the ability to build attractive ecosystems, rather than about who can erect higher technological barriers," Ma noted.
。 中国小康网4月26日讯 近日,中国红色文化研究会党史教育工作委员会在浙江永康就设立“永康党史工作教育实践基地”举行研讨会,中纪委、中组部、中宣部、国家发改委、中央党校、中国红色党史教育委员会,金华市人大、永康东风村书记、永康党史教育实践基地(筹)等相关领导参加,由中国红色文化研究会党史教育工作委员会常务副主任马康华主持会议。 此次会议旨在落实贯彻中共中央有关精神,遵照执行中共中央印发《党史学习教育工作条例》,推动党史学习教育常态化长效化,开展党史学习教育,在全国选择优秀城市建立党史教育实践基地,力推党史研究成效落地,推广普及红色党史,为全党及全社会普及党史学习教育。

二 | 研讨会上,著名红色传记作家、中国红色文化研究会党史教育工作委员会常务主任梁金安引用抗战历史抛砖引玉,梳理永康的党史资源和当地的优秀传统文化;中共中央宣传部老干部书记,原中宣部办公厅主任、党建杂志总编薛启亮,中央纪委审理室副局级纪律检查员、监察专员刁连喜,国家发展改革委宏观经济杂志社编委、新发展研究院副院长、民营经济发展合作中心筹备人戴效能,中国红色文化研究会党史教育工作委员会常务副主任马康华,金华市原人大秘书长李绍成,永康党史教育实践基地(筹)任志斌,永康东风村书记胡进品等围绕永康当地的经济、文化和社会建设等问题,进行了深入交流。 中央党校特聘教授、清华大学智库、中宣部马克思主义理论研究和建设工程首席专家谢茂松表示,开展党史学习教育是新时期加强党的建设的一项重要任务,党性教育已经成为党内和许多地方基层学习的主流方向,加强党性教育,教育基地建设至关重要,学习历史是为了更好的未来。 红色文化教育基地建设在我国社会主义主义文化建设中占据着重要位置,党史工作教育实践基地作为我国重要的传承红色文化资源,在存史、资政、育人、励志等方面有着重要教育意义。 中国红色文化研究会党史教育工作委员会是一个致力于研究、传承和弘扬中国红色文化的教育组织。其宗旨是挖掘和发扬中国革命的历史文化遗产,为爱国主义、革命精神和英雄主义精神的传承与发展做出贡献。 中国红色文化研究会党史教育工作委员会的成立背景是为了研究和传承中国共产党领导下的革命历史,继承红色基因,传播红色文化,巩固和发展社会主义制度。中国红色文化研究会党史教育工作委员会是一个致力于研究、传承和弘扬中国红色文化普及党史的研究教育组织。(马康华 吕建明 史进军)编辑:赵狄娜。

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