Google AI Studio vs Google Vertex AI: pricing, features and which to choose

Google AI Studio, formerly MakerSuite, is the fastest way to start with Google's Gemini models. It runs in the browser with a Google account and serves developers, students, startup founders and product teams who want to prototype before writing production code. It is the home of the Gemini Developer API: you create API keys and projects, view usage and rate limits and copy working code for Python, JavaScript, Go and other languages. Google says AI Studio usage is free of charge in all available regions. Companies that need enterprise controls usually move to Google Cloud's Vertex AI, now part of the Gemini Enterprise Agent Platform, for production.

The Playground is a chat and prompt workspace for every current Gemini model, along with image generation and editing through Nano Banana, video through Veo, music through Lyria, text to speech and the Live API for real-time voice and video conversations. Developers can attach files, PDFs, images, audio and YouTube links, set system instructions, adjust temperature and thinking levels, turn on tools such as Grounding with Google Search, Google Maps, URL context and code execution, and request structured JSON output. Prompts can be saved and shared, and a compare view puts two models side by side. Stream mode lets you talk to Gemini while sharing a screen or camera.

Google AI Studio's strengths are free access to Gemini models in a polished interface, fast API key setup, multimodal testing including live voice and video, and Build mode for turning ideas into deployable web and Android apps. Its weaknesses are free-tier data use for product improvement, quotas that change often, agent features such as Deep Research that need a paid API, and fewer enterprise controls than Vertex AI. Vertex AI is Google's enterprise path. Firebase Studio offers a fuller cloud development environment. Lovable, Bolt and v0 are dedicated app builders. Choose Google AI Studio if you want to try Gemini or prototype an AI app for free.

Google launched Vertex AI in May 2021 to unify its machine learning services for training, deploying and monitoring models. With the rise of generative AI it became Google Cloud's main platform for enterprises using Gemini and other foundation models, and in 2026 Google began presenting it as the Gemini Enterprise Agent Platform, which its documentation describes as an evolution of Vertex AI. It serves data scientists, machine learning engineers and application developers at companies that run on Google Cloud, who need enterprise security, data residency, governance and integration with BigQuery and other Google data services rather than a consumer API key.

Model Garden offers more than 200 models: Google's Gemini, Imagen, Veo and Chirp models, partner models such as Anthropic's Claude family, and open models such as Gemma and Llama that can be deployed or tuned. Developers prototype prompts in a studio console, ground answers with Google Search or their own data, tune models and evaluate them with the Gen AI evaluation service. RAG Engine connects private data to models, and Vector Search provides a managed vector database. For classic machine learning, Vertex AI still offers custom training on GPUs and TPUs, AutoML, Pipelines, Feature Store, a model registry, monitoring and Colab Enterprise notebooks.

Vertex AI's strengths are first-party access to Gemini, a broad Model Garden including Claude, deep integration with BigQuery and Google Cloud security, a strong open-source agent framework and full MLOps tooling. Its weaknesses are complexity, frequent product renaming, pricing that is hard to forecast and the need for a Google Cloud account and engineering skills. Amazon Bedrock and Azure AI Foundry are the equivalent platforms on AWS and Microsoft Azure. Google AI Studio offers simpler Gemini API access for prototypes. Hugging Face hosts open models, and Databricks suits teams centered on lakehouse data. Choose Vertex AI if your company runs on Google Cloud and needs governed, production AI.