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深度|开源新王M2与全模态布局,AI竞赛的另一种可能
Z Potentials·2025-10-30 02:32

Core Insights - MiniMax, an AI company based in Shanghai, has launched its new open-source text model M2, which has topped the global open-source model rankings on the Artificial Analysis list, showcasing its capabilities in key areas like agent intelligence and coding, closely rivaling top proprietary models like GPT-5 [2][8] - The launch of M2 represents a significant strategic move for MiniMax, emphasizing a focus on cost-efficiency and practical applications in the AI industry, contrasting with the broader market's anxiety over the commercialization of AI technologies [2][12] Group 1: Technological Advancements - The M2 model achieved rapid success, reaching the 7th position in global usage and 3rd in programming scenarios on the OpenRouter platform within just three days of its launch [3] - M2's performance in various vertical benchmarks demonstrates its strong end-to-end development capabilities, excelling in complex coding tasks and showing practical value for developers [12] - The model's cost is significantly lower, at less than 8% of the price of competitors like Claude 4.5, and it is offered for free globally until server capacity is reached, aiming to disrupt the "computing tax" in AI [12] Group 2: Market Positioning and Strategy - MiniMax has faced skepticism regarding its multi-modal approach, but its recent releases, including the Hailuo 2.3 video model and Speech 2.6 model, have proven its capability to deliver effective solutions across different AI applications [13] - The company is strategically positioning itself in the AI landscape by integrating cutting-edge model capabilities into self-developed applications, creating a feedback loop that enhances model iteration through successful commercial applications [14] - MiniMax's approach contrasts with the traditional "big model" strategy, focusing instead on a "flywheel ecosystem" that emphasizes practical technology development across text, video, and voice, aiming to secure a competitive edge in the ongoing AI race [14]