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DeepSeek claimed that it exceeded efficiency of OpenAI o1 on benchmarks such as American Invitational Mathematics Examination (AIME) and MATH. In December 2024, OpenAI introduced a new phenomenon they noticed with their latest mannequin o1: as check time compute increased, the mannequin bought better at logical reasoning duties corresponding to math olympiad and aggressive coding problems. DeepSeek-R1 stands out as a robust reasoning model designed to rival advanced systems from tech giants like OpenAI and Google. To support the analysis group, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and 6 dense fashions distilled from DeepSeek-R1 primarily based on Llama and Qwen. R1, through its distilled fashions (including 32B and 70B variants), has proven its means to match or exceed mainstream models in numerous benchmarks. Its variants, together with DeepSeek-R1-Zero, show excellent performance in varied key duties, making them a powerful addition to AI analysis and development. Problem-Solving and Decision Support:The mannequin aids in advanced drawback-fixing by providing knowledge-driven insights and actionable suggestions, making it an indispensable accomplice for business, science, and daily choice-making.