Yan Junjie, the billionaire founder, chairman and CEO of Chinese AI model developer MiniMax Group, has seen his fortune more than double to $7.8 billion on Forbes' World’s Real-Time Billionaires List ...
MiniMax Group Inc.’s shares surged as much as 21% after the company more than doubled its sales in 2025, reflecting the torrid growth that’s drawn investors to China’s leading OpenAI rivals. In its ...
BEIJING, March 2 (Reuters) - Chinese artificial intelligence startup MiniMax (0100.HK), opens new tab aims to become a global AI platform company, it said on Monday, setting out plans for faster ...
HONG KONG, March 2, 2026 /PRNewswire/ -- MiniMax Group Inc. ("MiniMax" or the "Company"; HKEX: 00100), a global AI foundation model company, today announced its financial results for the year ended ...
BEIJING, March 2 (Reuters) - Chinese artificial intelligence startup MiniMax aims to become a global AI platform company, it said on Monday, setting out plans for faster expansion and a broader ...
Revenue rose nearly 159 per cent year on year to US$79 million for the year ended December 2025, the Shanghai-based company said on Monday, beating an estimate of US$71.39 million by analysts polled ...
MiniMax shares surged after revenue beat expectations in its first set of results following its listing. Shares of the Chinese artificial-intelligence company rose 18% to 884.00 Hong Kong dollars, or ...
Anthropic isn’t just sparring with Washington over military use of Claude. It’s also accusing Chinese AI labs of siphoning off value from it. Last month, OpenAI and Anthropic publicly alleged that ...
SHANGHAI: Two Chinese artificial intelligence (AI) startups seen as possible rivals to OpenAI aim to complete their Hong Kong initial public offerings (IPOs) in the coming weeks. Shanghai-based ...
MiniMax plans to raise at least HK$3.83bil (US$492mil) from selling at least 25.4 million shares at HK$151 to HK$165 apiece. — Bloomberg BEIJING: Artificial intelligence (AI) startup MiniMax secured ...
Deploying deep learning models efficiently on heterogeneous hardware remains challenging. Here, authors present a mixed-precision supernetwork that jointly optimizes model mapping and adaptation, ...
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