Artificial Intelligence (AI)

ntroducing our new model, MiniMax-M1, 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.

ntroducing our new model, MiniMax-M1, 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.

https://www.minimax.io/news/minimaxm1

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Exciting development in open-source models with MiniMax-M1! The 1 million token context window is a game-changer, offering unprecedented capabilities in productivity and reasoning. Looking forward to seeing how this impacts various applications and democratizes AI technology.