DRT-o1-14B is a neural machine translation model designed to enhance the depth and accuracy of translations through long-chain reasoning. The model extracts English sentences containing metaphors or idioms and employs a multi-agent framework (comprising translator, advisor, and evaluator) to construct long-thought machine translation samples. Trained on the Qwen2.5-14B-Instruct backbone, this model has 14.8 billion parameters and supports BF16 tensor types. Its significance lies in its ability to handle complex translation tasks, especially where deep understanding and reasoning are required, providing a novel solution.