This study evaluates DeepSeek models against other leading LLMs specifically in mathematical reasoning tasks, revealing distinctive capabilities and performance patterns.

• DeepSeek models demonstrated competitive performance in mathematical reasoning compared to other prominent LLMs
• The research employed systematic benchmarking across various mathematical reasoning tasks
• Analysis reveals specific strengths and limitations of DeepSeek's approach to mathematical problem-solving
• Findings suggest potential for targeted educational applications in mathematics instruction

For education professionals, this research provides valuable insights into which models might better support mathematical learning and how these capabilities might be leveraged in educational technology solutions.

Unveiling the Mathematical Reasoning in DeepSeek Models: A Comparative Study of Large Language Models