Category: Start

  • Start building with Nano Banana 2 Lite and Gemini Omni Flash

    Start building with Nano Banana 2 Lite and Gemini Omni Flash

    We’re making it easier to experiment and scale your ideas with Nano Banana 2 Lite, our fastest, most cost-efficient Gemini Image model, and Gemini Omni Flash for high-quality video generation and conversational editing.


    Alisa Fortin

    Product Manager, Google DeepMind

    Anish Nangia

    Product Manager, Google DeepMind


    Today, we’re making it faster and easier to experiment, refine and scale your ideas with two major releases:

    Building with generative media is often about creative iteration. With these two models, developers can build comprehensive, end-to-end multimedia experiences that connect rapid image generation with video creation and editing. Whether your workflow requires generating thousands of images or editing multi-turn video sequences, you now have two new models to build faster, iterate seamlessly and bring your creative vision to life.

    Nano Banana 2 Lite: our fastest most cost-efficient Gemini Image model

    Watch a side-by-side comparison of image generation speed and quality between Nano Banana 2 Lite and Nano Banana 2 using a simple prompt.

    Nano Banana 2 Lite (gemini-3.1-flash-lite-image) is designed for rapid ideation and high-velocity developer pipelines where speed and cost are the primary constraints. It’s our recommended replacement for developers currently using our first version of Nano Banana (gemini-2.5-flash-image), you can swap it out now for immediate benefits across key performance dimensions.

    Performance benchmarks for Nano Banana 2 and 2 Lite compared to competitor AI image models, evaluating trade-offs between generation/editing quality (Elo scores), processing latency and cost per 1K-resolution image.

    a gif showing image generation and editing vs latency and price

    Nano Banana 2 Lite shines in:

    • Latency: Delivers text-to-image outputs in 4 seconds. This makes it ideal for interactive prototyping and rapid visual drafting.
    • Cost-efficiency ($0.034 per 1K image): A cost-efficient choice for developers focused on drafting, ideating, managing operational budgets or low-bandwidth usage.

    Despite prioritizing speed, Nano Banana 2 Lite retains reliable prompt adherence, strong character consistency and legible in-image text rendering.

    Understanding the Nano Banana family

    a chart showing the model table comparing Nano Banana 2 Lite, Nano Banana 2 and Nano Banana Pro

    • Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image): Built for speed. Optimized for near-real-time, high-volume workflows where ultra-low latency is critical.
    • Nano Banana 2 (Gemini 3.1 Flash Image): The generalist workhorse. Delivers high quality at a lower latency, offering the best balance of performance and cost.
    • Nano Banana Pro (Gemini 3 Pro Image): Optimized for complex, professional use cases. It provides the most robust control and advanced reasoning for tasks where accuracy is more important than speed.
    • Nano Banana (Gemini 2.5 Flash Image): Our legacy model. We recommend upgrading to Nano Banana 2 Lite for better quality, faster speeds and lower costs.

    To see the full list of model capabilities and how to integrate check out the developer docs.

    Alongside its release on developer platforms, Nano Banana 2 Lite is also coming to Google consumer surfaces including AI Mode in Search, Gemini app, NotebookLM, Google Photos, Stitch, Google Flow, and Google Ads.

    Experience high-quality, cost-efficient video editing and generation with Gemini Omni Flash

    Watch as someone uses Gemini Omni to perform four digital magic tricks, like pulling a 3D balloon word out of her phone and pouring water from the screen into a glass. There is a small “original” video in the corner revealing how she actually filmed the tricks before the Omni generated special effects were added.

    At Google I/O we introduced Gemini Omni Flash, the model where Gemini’s multimodal reasoning meets video generation and editing. Today, Gemini Omni Flash (gemini-omni-flash-preview) is rolling to developers via the Gemini API and Google AI Studio, natively supporting high-quality video generation and conversational editing from a combination of text, image and video inputs. This model is priced competitively at $0.10 per second of video output, which is the same as Veo 3.1 Fast.

    Omni Flash shines in:

    • Conversational video editing: Refine and edit videos using natural language.
    • Multimodal referencing: Combine inputs like images, text and video to maintain control and consistency over your scene.
    • Real-world knowledge: Omni draws on Gemini’s knowledge such as history, biology and narrative logic to construct compelling videos.
    • Text and action synchronization: Connect text and graphics directly to video actions, through simple prompting.

    For comprehensive benchmarking information, please visit Google DeepMind’s Gemini Omni webpage.

    a benchmarking chart on video editing

    Limitations:

    • Omni offers 10-second video generations currently, with longer durations coming soon.
    • Uploading audio references and scene extension is not yet supported in the Gemini API for this model.
    • Video references up to 3 seconds in duration are accepted by the API schema but are not correctly processed by the model at this time.
    • Character consistency when changing scenes or panning movements has some limitations but we are working to make this better.

    Gemini Omni is available in public preview starting today in Google AI Studio and the Gemini API. To see the full list of model capabilities and regional specific limitations check out the developer docs.

    Build with both models today

    The real magic happens when you chain these models together. Use Nano Banana 2 Lite as a high-speed image generation model, then pass that image as a reference to Gemini Omni Flash to animate it into a high-quality video. Plus, by using the Interactions API for these multi-turn experiences, you can maintain session history and context so users can stack up to three sequential edits.

    To help you get started we created a few demo apps you can remix that let you experience how you can pair both Nano Banana 2 Lite and Gemini Omni Flash into one workflow.

    Anywhere is a demo app built to showcase the strong capabilities of both models. Take a selfie or upload a photo, and the app uses Nano Banana 2 Lite to instantly transport you to dozens of iconic landmarks. Then, when an image is clicked, Omni Flash is used to turn the generated image into an animated clip of the location.

    Space Lift is a demo interior design app powered by Nano Banana 2 Lite and Gemini Omni, that lets you instantly reimagine any room by uploading a photo. The app automatically generates fully realized concepts across various design aesthetics. Once you find a look you love, tap the video button to watch Omni bring the design to life with a cinematic showcase, letting you experience your new space in motion before making it a reality.

    Omni product studio is a demo app that converts static images created by Nano Banana 2 Lite into cinematic e-commerce videos created by Gemini Omni. This demo illustrates building interactive media by merging multimodal inputs through quick interaction with an image-to-video output.

    Quote from Ali Sadeghian, Co-Founder & CTO, Astrocade

    Quote from Yunus Emra, CAIO, AI Lab (HubX)

    Quote from Nick Walton, CEO & Co-Founder, Latitude

    Quote from Path Chadha, Founder & CEO, Stan

    Quote from Joaquin Cuenca, CEO & Founder, Magnific

    Quote from Ada Liu, Head of Product, Agent Opus

    Quote from Andrew Carr, Co-Founder, Cartwheel

    Quote from Alec Jo, Head of Apllied AI, Flora

    Build with safety and transparency

    Built on Google’s secure infrastructure, Gemini Omni and Nano Banana 2 Lite use SynthID watermarking. You can verify AI content through the Gemini app, Gemini in Chrome or Search. Learn more about how we’re expanding our verification tools to help you understand how content was created and edited across the web.

    Start your project today

    Nano Banana 2 Lite resources:

    Gemini Omni Flash resources:

  • Start building with Gemini 3

    Start building with Gemini 3

    Whether you’re an experienced developer or a vibe coder, Gemini 3 can help you bring any idea to life.



    Build anything with Gemini 3

    Today we are introducing Gemini 3, our most intelligent model that can help bring any idea to life. Built on a foundation of state-of-the-art reasoning, Gemini 3 Pro delivers unparalleled results across every major AI benchmark compared to previous versions. It also surpasses 2.5 Pro at coding, mastering both agentic workflows and complex zero-shot tasks.

    Benchmarks table with comparison numbers for Gemini 3 Pro, Gemini 2.5 Pro, Claude Sonnet 4.5 and GPT-5.1

    Gemini 3 Pro fits right into existing production agent and coding workflows, while also enabling new use cases not previously possible. It’s available in preview at $2/million input tokens and $12/million output tokens for prompts 200k tokens or less through the Gemini API in Google AI Studio and Vertex AI for enterprises (see pricing for rate limits and full pricing details). Additionally, it can be utilized via your favorite developer tools within the broader ecosystem and is available, with rate limits, free of charge in Google AI Studio.

    Agentic coding

    Developers are spending more and more time creating software with AI at their side. Building on the momentum of Gemini 2.5 Pro and all the feedback, Gemini 3 Pro serves as a new foundation of intelligence for what’s possible with an agentic coding model.

    Gemini 3 Pro scores 54.2% points on Terminal-Bench 2.0, which tests a model’s tool use ability to operate a computer via terminal.

    Terminal Bench evaluation charts for Gemini 3 and other AI models

    You can feel the power of this model come to life in Google Antigravity, our new agentic development platform, in addition to Gemini CLI, Android Studio, and other coding products like Cursor, GitHub, JetBrains, Manus, Cline and more.

    Google Antigravity

    To advance how the model and IDE work together, we’re introducing Google Antigravity to showcase what’s possible with Gemini 3. It’s an agentic development platform that enables developers to operate at a higher, task-oriented level by managing agents across workspaces, while retaining a familiar AI IDE experience at its core.

    It’s a faster way to develop: you act as the architect, collaborating with intelligent agents that operate autonomously across the editor, terminal, and browser. These agents plan and execute complex software tasks, communicating their work with the user via detailed artifacts. This elevates all aspects of development, from building features, UI iteration, and fixing bugs to researching and generating reports. Visit the Google Antigravity website to download the public preview at no charge, now available for MacOS, Windows and Linux.

    See multiple agents building in parallel in this multiplayer digital whiteboard app in Google Antigravity.

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    Gemini API

    With Gemini 3, we are releasing a client-side bash tool that empowers the model to propose shell commands as part of agentic workflows for tasks such as navigating your local filesystem, driving development processes, and automating system operations. We’re pairing this with a hosted server-side bash tool for multi language code generation and secure prototyping. Available now in the Gemini API for early access partners, with general availability coming soon.

    Additionally, Gemini hosted tools Grounding with Google Search and URL context can now be combined with structured outputs. This is especially powerful for building agentic use cases which involve fetching and extracting data and then outputting them in a specific format for downstream agentic tasks.

    Vibe coding

    Gemini 3 Pro unlocks the true potential of “vibe coding”, where natural language is the only syntax you need. By significantly improving complex instruction following and deep tool use, the model can translate a high-level idea into a fully interactive app with a single prompt. It handles the heavy lifting of multi-step planning and coding details delivering richer visuals and deeper interactivity, allowing you to focus on the creative vision.

    Gemini 3 Pro tops the WebDev Arena leaderboard by scoring an impressive 1487 Elo.

    Graphic showing 1487 WebDev Arena leaderboard score

    Google AI Studio

    Whether it’s building a game with a single prompt, an interactive landing page from unstructured voice notes, or a full on app from a napkin sketch, developers can bring their idea to life with Gemini 3. With this model, we pushed single prompt generation capabilities further than ever, meaning you can go from idea to AI-powered app with a single prompt, like this retro game built in Google AI Studio.

    A zero-shot game built with Gemini 3 Pro in Google AI Studio.

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    We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. You can start building with Gemini 3 in Google AI Studio today.

    Multimodal understanding

    Gemini 3 is the best model in the world for complex multimodal understanding and sets new highs on MMMU-Pro for complex image reasoning and Video MMMU for video understanding. Combining its intelligence and a 1 million-token context window, developers can see significant improvements while building key multimodal use cases. To give you more control over latency and cost, you can now configure multimodal vision processing with more granularity in the Gemini API based on the visual fidelity required for your application.

    Visual reasoning

    Gemini 3 Pro is best-in-class for document understanding, going beyond simple OCR (Object Character Recognition) to intelligently handle complex document understanding and reasoning.

    You can see the model’s vision understanding, reasoning and coding capabilities in our demo app that brings any idea to life in Google AI Studio.

    With just an image, Gemini 3 Pro uses its vision understanding, reasoning and coding capabilities to turn it into an interactive web experience.

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    Spatial reasoning

    The model’s improved spatial understanding also drives strong performance in embodied reasoning tasks like pointing, trajectory prediction and task progression, unlocking new use cases across autonomous vehicles, XR devices and robotics.

    Its spatial reasoning also powers intelligent screen understanding of desktop, mobile and OS screens delivering significant performance improvement for computer use agents. The model also understands the intent of user actions based on mouse movements and screen annotations unlocking novel experiences like this Visual Computer demo app.

    Gemini 3 not only comprehends the user’s hand-drawn instructions but also intelligently acts upon them based on its understanding of the screen and its elements.

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Video reasoning

Gemini 3 Pro captures rapid action with high-frame-rate understanding, ensuring developers never miss a critical moment in fast-moving scenes. Beyond speed, long-context recall allows for synthesizing narratives and pinpointing specific details across hours of continuous footage.

Build what’s next, today

Gemini 3 Pro is now integrated into many developer products and tools to seamlessly fit into your existing workflows and unlock entirely new ways to code.

  • Build with the Gemini API: You can integrate Gemini 3 Pro immediately into your applications via Google AI Studio and Vertex AI for Enterprise. To support the model’s deeper reasoning capabilities, we’re introducing a new thinking level and more granular media resolution parameters in the API, along with stricter validation for thought signatures. This update is critical for preserving the model’s thoughts across multi-turn conversations. Check out the Developer Guide for the technical breakdown and our Prompting Guide to learn how to build with Gemini 3 Pro.
  • Experience the model’s agentic capabilities: Whether you are adding AI-native features to an Android app, automating workflows through Gemini CLI or managing a fleet of autonomous agents in Google Antigravity, Gemini 3 Pro provides the reliability needed for complex, agentic architectures.
  • Vibe code with Gemini 3 Pro: Google AI Studio is your fastest path to bring any idea to life. Get started in Build mode to generate a fully functional app with a single prompt. And if you need a little inspiration, click “I’m feeling lucky” and let Gemini 3 Pro handle the creative spark and the code implementation simultaneously.

The software landscape is shifting. As AI changes who builds and how they build, we are committed to meeting you where you are — giving you the tools to push the boundaries of what’s possible.

This is just the start of the Gemini 3 era but we can’t wait to see what you build with Gemini 3 Pro!