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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. Google AI Studio
    Google AI Studio icon

    Google AI Studio

    Vibe Coding
    Featured

    Web-based environment from Google for experimenting with Gemini and other generative models and building apps with the Gemini API.

    Visit Website

    At a Glance

    Pricing
    Free tier available

    For developers and small projects getting started with the Gemini API.

    Gemini 3.8 Flash: $0.75 usage-based
    Gemini 3.5 Flash-Lite: $0.3 usage-based
    Gemini 3.1 Pro Preview: $2 usage-based
    +2 more plans

    Engagement

    Available On

    Linux
    Web
    API
    SDK
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Vibe CodingPrototypingAI Development Libraries

    Alternatives

    Google Antigravity SDK
    Developer
    Google DeepMindLondon, EnglandEst. 2010$400 raised

    Updated Oct 2026

    About Google AI Studio

    Google AI Studio is Google's web workspace for trying its generative models and building applications with the Gemini API. Its homepage describes going from prompt to production with Gemini, Omni, Nano Banana and other models, and it links to API key management, SDKs, an app gallery and documentation.

    What It Is

    Google AI Studio is a browser-based environment for experimenting with Google's latest models and starting development against the Gemini API. Users can open prompts directly with Gemini 3 for reasoning, Nano Banana for image generation, Veo for video generation, Gemini TTS for controllable speech, Gemini Live for real-time voice and video interaction, Omni for video editing and creation, and Lyria for music generation.

    Building with the Gemini API

    The site gives developers a place to get and manage API keys and monitor resource usage. It points to official GenAI SDKs for Python, JavaScript, Go, Java and C++. It also lists an Interactions API for stateful, multi-turn agents with managed tool execution and history, and tools for function calling plus Search and Maps grounding.

    The JavaScript/TypeScript SDK (@google/genai) documents API-key initialization from Google AI Studio, streaming, function calling, experimental MCP support, file uploads, caching, chats and live sessions. The same SDK also supports the Gemini Enterprise Agent Platform.

    App gallery and vibe coding

    The homepage offers an app gallery of remixable starter projects, such as games, personal websites and interactive art, along with example prompts for generating apps like a language-learning partner or a background-removal tool. It also links to Live API, managed agents and vibe coding capabilities.

    Google AI Studio - 1
    Google AI Studio - 2

    Community Discussions

    Start a new discussion about Google AI Studio
    Joe Seifi's avatar
    Joe Seifi
    October 23, 2025·Apple, Disney, Adobe, Eventbrite,…

    Annotate mode: draw on UI → code

    Google just showed off Annotate mode in Google AI Studio and it’s exactly the kind of vibe-coding magic we’ve been waiting for. You open your app in the Build view, hit Annotate, literally draw on the live preview. Little arrows, circles, quick notes like “make this button sticky” or “padding 24px” …

    1

    Pricing

    FREE

    Free

    For developers and small projects getting started with the Gemini API.

    • Limited access to certain models
    • Free input & output tokens
    • Google AI Studio access
    • Content used to improve our products

    Gemini 3.8 Flash

    Our most intelligent Flash model, engineered for long-horizon softwareengineering, autonomous agents, and complex enterprise workflows.

    $0.75
    usage based
    • Input: $0.75 per 1M tokens through December 31, 2026; $1.50 starting January 1, 2027
    • Output (including thinking tokens): $3.75 per 1M tokens through December 31, 2026; $7.50 starting January 1, 2027
    • Context caching: $0.075 per 1M tokens through December 31, 2026; $0.15 starting January 1, 2027

    Gemini 3.5 Flash-Lite

    A cost-efficient model, optimized for high-volume agentic tasks, translation,and simple data processing.

    $0.3
    usage based
    • Input: $0.30 per 1M tokens (text / image / video / audio)
    • Output (including thinking tokens): $2.50 per 1M tokens
    • Context caching: $0.03 per 1M tokens

    Gemini 3.1 Pro Preview

    Our 3rd generation Pro model, built for multimodal understanding, agenticcapabilities, and vibe-coding.

    $2
    usage based
    • Input: $2.00 per 1M tokens (prompts <= 200k tokens); $4.00 (prompts > 200k tokens)
    • Output (including thinking tokens): $12.00 per 1M tokens (prompts <= 200k tokens); $18.00 (prompts > 200k)
    • Context caching: $0.20 per 1M tokens (<= 200k); $0.40 (> 200k)

    Veo 3.1

    A fast video generation model.

    $0.4
    usage based
    • Standard video with audio: $0.40 per second (720p and 1080p); $0.60 (4k)
    • Fast video with audio: $0.10 per second (720p); $0.12 (1080p); $0.30 (4k)
    • Lite video with audio: $0.05 per second (720p); $0.08 (1080p)

    Enterprise

    For enterprise deployments, powered by Gemini Enterprise Agent Platform.

    Custom
    contact sales
    • All features in Paid, plus optional access to:
    • Dedicated support channels
    • Advanced security & compliance
    • Provisioned throughput
    • Volume-based discounts (based on usage)
    • ML ops, model garden and more
    View official pricing

    Capabilities

    Key Features

    • Prompt playground for Gemini 3, Nano Banana, Veo, Lyria, Omni and Gemini TTS
    • Gemini Live real-time voice and video interactions
    • Gemini API key management and usage monitoring
    • Official GenAI SDKs for Python, JavaScript, Go, Java and C++
    • Interactions API for stateful multi-turn agents
    • Function calling and Search and Maps grounding tools
    • App gallery with remixable starter projects
    • Vibe coding and prompt-to-app generation
    • Managed agents and Live API

    Integrations

    Gemini API
    Gemini Enterprise Agent Platform
    Google Search grounding
    Google Maps grounding
    Model Context Protocol
    API Available
    View Docs

    Ratings & Reviews

    4.5
    32 reviews
    5
    70%
    4
    30%
    3
    0%
    2
    0%
    1
    0%

    Based on 32 reviews

    Highly rated100% positive reviews

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    Developer

    Google DeepMind

    Google DeepMind is the artificial intelligence division of Alphabet Inc. that serves as the central engine behind Google's AI strategy. The organization was formed in April 2023 through the merger of two influential teams: Google Brain, the internal team that invented the Transformer architecture, and DeepMind, the London-based research lab acquired by Google in 2014 for approximately $500 million. The lab employs over 2,000 scientists and engineers across research centers in the United Kingdom, United States, Canada, France, Germany, and Switzerland. Google DeepMind develops the Gemini family of large language models alongside generative AI tools including Veo for video, Imagen for images, and Lyria for music. As of 2026, the Gemini App team operates under DeepMind, giving researchers direct control over both model development and product experience. ## Research Breakthroughs **AlphaGo** (2016) became the first program to defeat a world champion at Go, beating Lee Sedol 4-1 in a match watched by over 200 million viewers. **AlphaFold** solved the 50-year grand challenge of protein structure prediction, mapping over 200 million proteins and earning CEO Demis Hassabis and colleague John Jumper the 2024 Nobel Prize in Chemistry. Other notable projects include **AlphaStar** for StarCraft II mastery and **AlphaGeometry** for mathematical reasoning. ## 2026 Strategic Focus Google DeepMind has shifted focus from generative AI toward three major initiatives: **Agentic AI** — Building models with Deep Think reasoning capabilities that can independently plan and execute complex workflows, moving AI from a conversational tool to an autonomous partner. **Physical AI and Robotics** — A partnership with Boston Dynamics integrates Gemini Robotics models into the Atlas humanoid robot. The hire of Aaron Saunders, former CTO of Boston Dynamics, as VP of Hardware Engineering signals expanded investment in bridging AI software with physical hardware. **AI for Science** — The Genesis Mission, in partnership with the US Department of Energy, includes opening a fully automated materials science laboratory in the UK. AlphaGenome, targeting non-coding DNA mapping for genetic disease research, is expected in mid-2026. ## Leadership **Sir Demis Hassabis** serves as CEO. A former chess prodigy ranked second in the world for his age at 13, he later designed AI systems for video games including Theme Park before earning a PhD in cognitive neuroscience studying memory and imagination. He co-founded DeepMind in 2010 with Shane Legg and Mustafa Suleyman around a two-step mission: solve intelligence, then use it to solve everything else. **Dr. Jeff Dean** serves as Chief Scientist, overseeing technical infrastructure including Google's TPU supercomputers. He previously built foundational Google systems including MapReduce, BigTable, and Spanner.

    Founded 2010
    London, England
    $400 raised
    6,000 employees

    Used by

    Google (internal divisions: Android,…
    National Health Service (NHS) - Royal…
    Moorfields Eye Hospital
    University College London Hospital
    +9 more
    Read more about Google DeepMind
    WebsiteGitHubLinkedInX / Twitter
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