1美金时薪雇个全栈替身，MiniMax M2.5让打工人也能体验当老板的感觉

Core Insights - The article discusses the launch of MiniMax's new model M2.5, which excels in full-stack coding and intelligent agent capabilities, positioning itself alongside Claude Opus 4.6 in performance [2][7][21] - M2.5 is designed to handle both front-end and back-end development, offering a comprehensive solution for coding tasks and data management at a low cost [6][10][61] - The model's rapid processing speed and cost-effectiveness signal a significant advancement in AI applications, indicating an impending explosion of AI utility in various sectors [59][61][64] Group 1: Model Capabilities - M2.5 supports multiple platforms including PC, mobile apps, React Native, and Flutter, making it a versatile tool for developers [3][4] - It can generate complete, functional code for complex projects, such as an e-commerce website with advanced features [12][14] - The model has achieved an impressive 80.2% score on the SWE-Bench Verified leaderboard and ranks first in multi-language tasks [8][10] Group 2: Performance Metrics - M2.5 operates at a speed of 100 transactions per second (TPS), which is double that of mainstream flagship models, enhancing its efficiency in data processing and bug fixing [21][61] - The model's activation parameter count is only 10 billion, making it the smallest flagship model in its class while still delivering top-tier performance [20][64] Group 3: Practical Applications - M2.5 has been successfully integrated into real-world scenarios, such as automating financial report generation and data organization tasks [27][32] - The model's ability to analyze data and provide business insights, such as identifying cost-saving opportunities, showcases its advanced analytical capabilities [38][40] Group 4: Industry Implications - The rapid advancements in the M2 series indicate a shift towards more capable AI models that can independently manage complex tasks, reducing the need for constant developer oversight [59][66] - M2.5's introduction is seen as a catalyst for broader AI adoption across industries, with the potential to transform workflows and productivity [59][64]