深度 ｜ 108天狂奔：M2.5之后，AI竞争的唯一标尺是加速度

Core Insights - The AI industry is undergoing a transformation where the focus has shifted from static performance metrics to the ability to rapidly evolve and adapt, redefining competitive advantages [2][24][25] - MiniMax M2.5 exemplifies this trend by achieving high performance at a significantly reduced cost, indicating a new paradigm in AI model development [3][23] Group 1: Evolution of AI Standards - The emergence of MiniMax M2.5 highlights a new competitive landscape where the speed of evolution is the key variable for success, rather than just current performance [17][24] - The AI competition is transitioning from a pre-training phase focused on knowledge accumulation to a post-training phase centered on practical execution and problem-solving [9][10] Group 2: Performance Metrics - MiniMax M2.5 achieved an 80.2% score on the SWE-Bench Verified benchmark, closely rivaling the top competitor Claude Opus 4.6, which scored 80.8% [3][11] - The model operates at a cost of only $1 per hour for continuous operation at 100 TPS, making it significantly cheaper than its peers [6][23] Group 3: Technological Advancements - The rapid evolution of M2.5 is evident, with scores improving from 74.0% in M2.1 to 80.2% in M2.5 over a span of 108 days [19][20] - MiniMax's Forge system is designed to accelerate the evolution of AI models, allowing for efficient adaptation to various real-world environments [21][22] Group 4: Business Implications - The low cost and high efficiency of M2.5 are reshaping the cost-benefit model for AI applications, making AI a viable labor force alternative [23] - The introduction of M2.5 signals a shift in the industry’s focus from static performance to dynamic evolution capabilities, emphasizing the importance of a robust evolutionary system [24][25]