霸榜全球大模型，MiniMax凭什么力压Claude、GPT？

Core Viewpoint - MiniMax M2.5 has achieved the top position in global large model usage rankings due to its affordability and suitability for real-world applications, particularly in the growing demand for agent-based functionalities [6][10][29]. Group 1: MiniMax M2.5 Performance - MiniMax M2.5 has maintained the number one spot in the global large model usage rankings since its release on February 12, 2026, with a total of 8.43 trillion tokens consumed [6][8]. - The model is significantly cheaper compared to competitors, with input costs at $0.27 per million tokens and output costs at $0.95 per million tokens, making it approximately 18 times cheaper than Claude Opus 4.6 [13][14]. - The model's architecture, MoE, allows for fast inference and low latency, making it ideal for agent workflows that require multiple calls [21][23]. Group 2: Market Trends and Demand - The demand for agent-based applications has surged, with OpenClaw, Kilo Code, and BLACKBOXAI leading the charge in token consumption, indicating a shift in how large models are utilized [19][20]. - MiniMax M2.5's success is attributed to its alignment with this trend, as it was designed for programming, tool usage, and workflow tasks rather than just conversational capabilities [16][18]. Group 3: Commercial Viability - MiniMax reported a revenue increase of 158.9% in 2025, reaching $79.04 million, with a gross margin improvement from 12.2% to 25.4% [42][44]. - The revenue structure includes approximately two-thirds from AI-native products and one-third from enterprise services, showcasing a diversified approach to monetization [46][48]. - Over 70% of MiniMax's revenue comes from international markets, indicating a broad acceptance beyond the Chinese developer community [51][53]. Group 4: Competitive Landscape - The competitive landscape is intensifying, with other models like Step 3.5 Flash and Kimi K2.5 also targeting the agent market, emphasizing the need for MiniMax to solidify its position [36][37]. - MiniMax's rapid iteration and updates, with the release of M2.5 just months after M2.1, demonstrate a commitment to enhancing developer capabilities [32][34]. Group 5: Future Outlook - The ongoing competition in the agent model space suggests that MiniMax must convert its current usage into long-term commercial success [39][40]. - The industry is shifting towards evaluating models based on their practical application and cost-effectiveness, rather than theoretical performance [55].