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Moonshot AI founder Yang Zhilin released a 40-minute video detailing the training process of the Kimi K2 model, which cost only $4.6 million. In an 8-model real-time programming competition, Kimi K2 took first place, defeating GPT-5.5 and others, demonstrating how a small team can overturn the traditional compute-stacking paradigm through architecture optimization.
Kimi K2, trained for $4.6 million, outperforms GPT-5 and Claude Opus 4.7 on coding benchmarks, with a detailed breakdown from its founder.
The tweet claims that the open-source Kimi K2.6 model has surpassed Claude Opus 4.7, marking a significant milestone for open-source AI in just three months. It provides a link to a full guide and prompts to verify the comparison.