Google AI Studio vs Firebase Studio 2025: Which Platform Should You Choose? If you're weighing between Google AI Studio and Firebase Studio, this video walks you through everything you need to know to decide which fits your project and workflow in 2025. Whether you focus on building generative‑AI models, full‑stack apps, or prototypes, this side‑by‑side look will help you pick the right tool. In this video you will learn: What Google AI Studio offers: rapid model access, prompt based work, and generative AI tooling What Firebase Studio offers: full‑stack development workspace, app prototyping, AI‑powered backend + frontend support Differences in setup, use‑case focus (models vs apps), collaboration features, and workflow Trade‑offs: simplicity vs control, model focus vs app focus, cloud access vs full‑stack tools Which platform is best for your needs and project type in 2025 What makes Google AI Studio stand out: Google AI Studio is designed for building and experimenting with generative AI models (text, image, code) and accessing the latest model‑APIs quickly. Limitations of Google AI Studio: It’s focused on AI‑model work rather than full application workflows; less built‑in support for complete app development, deployment or monitoring. What makes Firebase Studio strong: Firebase Studio is a browser‑based, cloud‑native IDE with integrated AI, code editor, app templates, backend services, and deployment tools — ideal for building full‑stack, AI‑powered apps quickly. Trade‑offs with Firebase Studio: It may be overkill if all you need is model experimentation; being in preview, some features may change, and the focus is more on apps than standalone AI‑model tooling. Which should you pick in 2025? For model building, prototyping AI, and experimenting with generative models: go with Google AI Studio. For full‑stack development, app creation, deployment, backend+frontend, and AI‑powered workflows: choose Firebase Studio.