MiniMax-M1 is the world's first open-source, large-scale, hybrid-attention reasoning model. In complex, productivity-oriented scenarios, M1's capabilities are top-tier among open-source models, surpassing domestic closed-source models and approaching the leading overseas models, all while offering the industry's best cost-effectiveness. A significant advantage of M1 is its support for an industry-leading 1 million token context window, matching the closed-source Google Gemini 2.5 Pro. This is 8 times that of DeepSeek R1 and includes an industry-leading 80,000 token reasoning output.