MiniMax M2开源并登顶“AA”榜单，成本仅Claude4.5的8%

Core Insights - MiniMax, a domestic AI unicorn, has launched and open-sourced its new text model MiniMax-M2, ranking in the top five globally on the Artificial Analysis (AA) leaderboard and first in open-source, competing with major players like OpenAI, Anthropic, and Google [1][2] - The pricing of MiniMax-M2 is significantly lower than competitors, with API costs set at $0.3 per million tokens for input and $1.2 for output, making it 8% of Claude Sonnet 4.5's price while offering nearly double the inference speed [1] - The launch of MiniMax-M2 represents a breakthrough in AI computing cost barriers, indicating a new combination of "high intelligence + low cost" from Chinese AI companies, challenging the global AI landscape [1] Industry Reception - Following the model's release, numerous overseas AI developers have praised MiniMax-M2, with LMarena recommending it for testing and a Reddit community tech influencer noting a score of 58.3% in benchmark tests, indicating strong performance [2] - CoreViewHQ's co-founder and CTO highlighted MiniMax-M2's impressive performance, stating it even surpasses Claude 4.1 Opus in practical use [2] - Individual developers have integrated the API for extensive testing and shared real-world use cases within technical communities [2]