Mochi v1 is an open-source text-to-video model that turns simple written prompts into smooth, realistic videos. Designed for creators, researchers, and developers, Mochi v1 produces high-fidelity motion at 30 frames per second and reliably follows the details of your prompt so the output matches your intent. Because it is released under Apache 2.0, Mochi v1 is free for personal and commercial use and easy to integrate into custom pipelines or products. Users can generate a wide range of outputs — from short narrative scenes and promotional clips to educational illustrations and synthetic datasets — by adjusting prompt text and generation parameters (seed, cfg-scale) to trade off between strict prompt adherence and creative variation. The model’s large-scale design delivers superior realism and prompt alignment compared with many open-source alternatives, making it well suited for storytelling, marketing, prototyping, and research experimentation. Practical considerations: Mochi v1 requires substantial GPU memory (around 60 GB VRAM) for smooth single-GPU operation, and it is currently provided in a preview/evaluation state, so expect ongoing improvements and occasional instability. Generating videos using hosted services often costs roughly $0.4 per video, reflecting the model’s quality and compute needs. In short, Mochi v1 is ideal for users who need highly realistic, text-driven video generation and have access to strong hardware or cloud resources. Its strong prompt fidelity, customizable controls, and permissive license make it a flexible choice for creative projects, educational content, and research-focused video synthesis.