Evaluation of LLMs for mathematical problem solving

This study evaluates three large language modelsGPT-4o, DeepSeek-V3, and Gemini-2.0on diverse mathematical datasets, assessing their accuracy, reasoning steps, and problem comprehension using a Structured Chain-of-Thought framework. Results indicate GPT-4o's superior stability and performance on complex problems, while each model exhibits specific strengths and weaknesses in reasoning, explanation, and logical flexibility.