Best Google AI tools 2026
The full Google AI stack in one place — the models, playgrounds, IDEs, and frameworks Google ships in 2026, from AI Studio and the Gemini app to Vertex AI, NotebookLM, Imagen, Veo, Firebase Studio, and Genkit.
Google's AI work is spread across half a dozen properties — DeepMind, Google Cloud, Google Labs, Firebase, and the consumer Gemini surface — and it is genuinely hard to know which entry point to use for what. The list below is the curated map we wish we had a year ago: a single product per row, what it is for, and the official URL to start from. Most are free to try; the Cloud and Workspace tiers add usage-based pricing on top.
Google AI StudioPlayground
Google's web playground for building with the Gemini models — prompt design, system instructions, multi-turn chat, image and audio inputs, structured output, and one-click export to the Gemini API SDKs. The fastest way to go from idea to working prototype without writing a line of backend code.
GeminiAI assistant
Google's consumer assistant powered by the Gemini 2.x model family, with deep research, canvas, image generation, and live audio conversations. It is a strong default when your team already lives in Google Workspace, since it can summarize threads and draft replies in Docs, Sheets, and Gmail.
Gemini APIDeveloper API
The developer entry point for building on Gemini, with the same SDKs that AI Studio exports — JavaScript, Python, Go, and REST. Pricing is pay-per-token with a generous free tier, and the API supports tool calling, structured output, file uploads, and the Live API for real-time multimodal sessions.
NotebookLMResearch assistant
An AI-powered notebook grounded on the sources you upload — PDFs, Google Docs, web pages, YouTube videos, audio files. It generates summaries, study guides, mind maps, and even shareable audio overviews, which makes it our default tool for synthesizing research before writing.
Vertex AICloud platform
Google Cloud's enterprise AI platform: managed Gemini, third-party models from Anthropic, Meta, and Mistral via Model Garden, plus Agent Builder, evaluation, fine-tuning, and the MLOps tooling production deployments need. The right destination once a Gemini API prototype is ready to scale.
VeoVideo generation
DeepMind's text-to-video and image-to-video model. Veo produces high-fidelity clips with consistent characters and camera control, and is available through AI Studio, the Gemini app, and Vertex AI. A serious option for marketing teams that want B-roll, product motion, or short-form ads without a shoot.
Gemini Code AssistCoding assistant
Google's IDE-integrated coding assistant for VS Code, JetBrains, and Cloud Workstations. It offers chat, code completion, and codebase-aware suggestions, with a free individual tier that includes generous monthly usage — a credible alternative to GitHub Copilot for teams already on Google Cloud.
Gemini GemsCustom assistants
User-built custom Gemini assistants with their own system prompt, knowledge files, and instructions — the closest Google equivalent to OpenAI's Custom GPTs. Useful for codifying recurring workflows like brand-voice copy, support triage, or briefing intake without writing any code.
Firebase StudioCloud IDE
A cloud IDE (formerly Project IDX) with Gemini built in, designed for full-stack web and mobile prototyping. Spin up a Next.js, Flutter, or Astro project from a template, get an AI agent that can edit files and run terminals, and deploy straight to Firebase Hosting in one click.
GenkitAI framework
An open-source TypeScript and Go framework from the Firebase team for building production AI features and agents — flows, tool calling, evaluations, observability, and a local dev UI. The pragmatic option when you want structure around Gemini API calls without adopting a heavier orchestration framework.
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