MAmmoTH-VL is a large-scale multimodal reasoning platform that significantly enhances the performance of multimodal large language models (MLLMs) on various multimodal tasks through instruction tuning techniques. The platform has created a dataset consisting of 12 million instruction-response pairs using open models, covering a wide range of reasoning-intensive tasks and providing detailed and accurate reasoning steps. MAmmoTH-VL has achieved state-of-the-art performance on benchmarks such as MathVerse, MMMU-Pro, and MuirBench, showcasing its importance in education and research.