消息称MiniMax将完成近3亿美元新融资，继智谱后考虑上市

Group 1 - MiniMax, one of the "AI Six Tigers," is nearing completion of a new funding round of nearly $300 million, which will raise its valuation to over $4 billion (approximately 30 billion yuan) [1] - MiniMax was founded in December 2021 by Yan Junjie, a former vice president of SenseTime, and has previously raised $600 million in Series A funding led by Alibaba, with a post-money valuation of $2.5 billion [1][4] - The company is reportedly preparing for an IPO in Hong Kong, following a trend among other "AI Six Tigers" companies [1][4] Group 2 - In June, MiniMax launched a "Technology Release Week," announcing breakthroughs in foundational models, multimodal technology, and general intelligence agents [2] - The company introduced the MiniMax-M1, claimed to be the world's first open-source large-scale hybrid architecture inference model, capable of supporting the highest industry input of 1 million contexts and 80,000 tokens output [2] - The M1 model requires significantly less computational power compared to competitors, with only 30% of the computing power needed for 80,000 token deep inference compared to DeepSeek R1 [3] Group 3 - Other companies in the "AI Six Tigers" are also preparing for IPOs, with Zhizhu being the first to initiate the IPO process, aiming for a listing in A-shares by October 2025 [4][5] - Zhizhu has completed five rounds of financing, accumulating over 16 billion yuan in total funding, with a latest valuation of 40 billion yuan [4] - The industry is witnessing a trend of differentiation, with some companies like Lingyi Wanshu and Baichuan Intelligence shifting focus away from foundational models to more specialized applications [5]