Qwen2.5-Coder is the latest series of the Qwen large language model, focusing on code generation, reasoning, and debugging. Based on the robust Qwen2.5, this series significantly improves code generation, reasoning, and repair capabilities by incorporating 55 trillion training tokens, including source code, text code grounding, and synthetic data. The Qwen2.5-Coder-32B has emerged as the most advanced open-source large language model for code generation, matching the coding capabilities of GPT-4o. Additionally, Qwen2.5-Coder offers a more comprehensive foundation for real-world applications, such as code agents, enhancing coding abilities while maintaining strengths in mathematics and general proficiency.