MiniMax深夜致歉，开源大模型M2登顶引发全球热潮

Core Insights - MiniMax has launched its new model MiniMax M2, which is fully open-sourced under the MIT license, allowing developers to download and deploy it via Hugging Face or access it through MiniMax's API [1] - The M2 model has quickly gained traction, achieving significant usage metrics and ranking highly on various platforms, indicating strong market demand [4][5] - M2's performance is comparable to top models like GPT-5, particularly in agent and coding scenarios, marking a significant advancement in open-source models [7] Performance and Metrics - Since the launch of the M2 API and MiniMax Agent, the platform has experienced a surge in traffic, leading to temporary service disruptions, which have since been resolved [4] - M2 ranks 5th globally in OpenRouter usage and 1st among domestic models, also appearing 2nd on the Hugging Face Trending list [5] - M2 has achieved impressive scores in various benchmarks, including 5th globally and 1st among open-source models in the Artificial Analysis (AA) rankings [7] Model Capabilities - M2 excels in balancing performance, speed, and cost, which is crucial for its rapid adoption in the market [10] - The model demonstrates strong capabilities in agent tasks, including complex toolchain execution and deep search, with notable performance in benchmarks like BrowseComp and Xbench-DeepSearch [11] - M2's programming capabilities include end-to-end development processes and effective debugging, achieving high scores in Terminal-Bench and Multi-SWE-Bench tests [10] Evolution from M1 to M2 - M2 is designed to meet the evolving needs of the agent era, focusing on tool usage, instruction adherence, and programming capabilities, contrasting with M1's emphasis on long text and complex reasoning [12][13] - The transition from M1 to M2 involved a shift from a hybrid attention mechanism to a full attention + MoE approach, optimizing for executable agent tasks [15] - M2's pricing strategy is competitive, with input costs at approximately $0.30 per million tokens and output costs at $1.20 per million tokens, significantly lower than competitors [15] Product Ecosystem - Alongside the M2 model, MiniMax has upgraded its Agent product, which now operates on the M2 model and offers two modes: professional and efficient [16] - The launch of M2 and the upgrade of MiniMax Agent are seen as steps towards building a comprehensive ecosystem for intelligent agents, expanding the potential applications of open-source models in enterprise settings [17]