OpenThinker-32B is an open-source reasoning model developed by the Open Thoughts team. It achieves robust reasoning capabilities by expanding data scale, validating reasoning paths, and scaling model size. The model excels in reasoning benchmarks for mathematics, code, and science, surpassing existing open data reasoning models. Its key advantages include open-source data, high performance, and scalability. The model is fine-tuned based on Qwen2.5-32B-Instruct and trained on a large-scale dataset, aiming to provide researchers and developers with a powerful reasoning tool.