MiniMax新模型比肩海外头部，国产大模型开启“月更”

Core Insights - MiniMax has launched its latest M2.5 model, which significantly enhances task processing speed and is competitively priced compared to leading overseas models [1][2] Group 1: Model Performance - The M2.5 model improves task completion speed by 37%, reducing the average time from 31.3 minutes to 22.8 minutes, comparable to Anthropic's Claude Opus 4.6 model [1] - In third-party evaluations, M2.5 scored only 0.4 points lower than Opus 4.6 in programming tasks, while its calling price is just 1/8 of Opus 4.6 [1] - M2.5 demonstrates exceptional performance in long-duration tasks, particularly in programming applications [2] Group 2: Economic Viability - The pricing structure for M2.5 allows for significant cost savings, with the ability to run four agents continuously for a year at a cost of only $10,000 [1] - At a rate of 100 tokens per second, M2.5 costs $1 for one hour of operation, and at 50 tokens per second, it costs $0.3 [1] Group 3: Industry Context - MiniMax's rapid development cycle has seen the release of M2, M2.1, and M2.5 within a span of just over 100 days, showcasing a notable performance improvement compared to other models like Claude, GPT, and Gemini [3] - The launch of M2.5 coincides with a competitive wave among domestic AI model companies, with other firms like ByteDance and DeepSeek also releasing new models around the same time [3]