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Investing in multi-agent AI safety research DiffusionGemma: 4x faster text generation Fluid, natural voice translation with Gemini 3.5 Live Translate Measuring the impact of learning with AI in Sierra Leone and beyond Powering the future of robotics in Europe Introducing Gemma 4 12B: a unified, encoder-free multimodal model Strengthening Singapore’s AI Future: A New National Partnership Simulate real-world places with Project Genie and Street View Introducing Gemini Omni Gemini for Science: AI experiments and tools for a new era of discovery Making it easier to understand how content was created and edited Gemini 3.5: frontier intelligence with action Co-Scientist: A multi-agent AI partner to accelerate research How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica Fast-tracking genetic leads to reverse cellular aging Finding the molecular switches behind new infectious diseases Opening new paths in aging research Accelerating discovery of liver disease mechanisms Uniting biological toolkits for a new approach to ALS Uncovering repurposed medicines to fight liver fibrosis Google Antigravity We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks. Reimagining the mouse pointer for the AI era AlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields Enabling a new model for healthcare with AI co-clinician Announcing our partnership with the Republic of Korea Decoupled DiLoCo: A new frontier for resilient, distributed AI training Partnering with industry leaders to accelerate AI transformation Gemini 3.1 Flash TTS: the next generation of expressive AI speech Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning Gemma 4: Byte for byte, the most capable open models Gemini 3.1 Flash Live: Making audio AI more natural and reliable Protecting people from harmful manipulation Lyria 3 Pro: Create longer tracks in more Google products Measuring progress toward AGI: A cognitive framework From games to biology and beyond: 10 years of AlphaGo’s impact Gemini 3.1 Flash-Lite: Built for intelligence at scale Nano Banana 2: Combining Pro capabilities with lightning-fast speed Gemini 3.1 Pro: A smarter model for your most complex tasks A new way to express yourself: Gemini can now create music Accelerating discovery in India through AI-powered science and education Gemini 3 Deep Think: Advancing science, research and engineering Accelerating Mathematical and Scientific Discovery with Gemini Deep Think Project Genie: Experimenting with infinite, interactive worlds D4RT: Teaching AI to see the world in four dimensions Veo 3.1 Ingredients to Video: More consistency, creativity and control Google's year in review: 8 areas with research breakthroughs in 2025 Gemma Scope 2: helping the AI safety community deepen understanding of complex language model behavior Google DeepMind supports U.S. Department of Energy on Genesis: a national mission to accelerate innovation and scientific discovery Gemini 3 Flash: frontier intelligence built for speed Improved Gemini audio models for powerful voice interactions Deepening our partnership with the UK AI Security Institute Strengthening our partnership with the UK government to support prosperity and security in the AI era FACTS Benchmark Suite: Systematically evaluating the factuality of large language models Engineering more resilient crops for a warming climate AlphaFold: Five years of impact Revealing a key protein behind heart disease How we’re bringing AI image verification to the Gemini app Build with Nano Banana Pro, our Gemini 3 Pro Image model Introducing Nano Banana Pro We’re expanding our presence in Singapore to advance AI in the Asia-Pacific region A new era of intelligence with Gemini 3 Google Antigravity WeatherNext 2: Our most advanced weather forecasting model SIMA 2: An Agent that Plays, Reasons, and Learns With You in Virtual 3D Worlds Teaching AI to see the world more like we do How AI is giving Northern Ireland teachers time back Mapping, modeling, and understanding nature with AI Accelerating discovery with the AI for Math Initiative MedGemma: Our most capable open models for health AI development VaultGemma: The world's most capable differentially private LLM Bringing AI to the next generation of fusion energy Introducing Veo 3.1 and advanced capabilities in Flow How a Gemma model helped discover a new potential cancer therapy pathway Introducing the Gemini 2.5 Computer Use model Introducing CodeMender: an AI agent for code security Gemini Robotics 1.5 brings AI agents into the physical world Strengthening our Frontier Safety Framework Discovering new solutions to century-old problems in fluid dynamics Gemini achieves gold-medal level at the International Collegiate Programming Contest World Finals Using AI to perceive the universe in greater depth Image editing in Gemini just got a major upgrade Introducing Gemma 3 270M: The compact model for hyper-efficient AI How AI is helping advance the science of bioacoustics to save endangered species Genie 3: A new frontier for world models Rethinking how we measure AI intelligence Try Deep Think in the Gemini app AlphaEarth Foundations helps map our planet in unprecedented detail Aeneas transforms how historians connect the past Gemini 2.5 Flash-Lite is now stable and generally available Exploring the context of online images with Backstory Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad T5Gemma: A new collection of encoder-decoder Gemma models Introducing Gemma 3n: The developer guide AlphaGenome: AI for better understanding the genome Gemini Robotics On-Device brings AI to local robotic devices We’re expanding our Gemini 2.5 family of models Gemini 2.5: Updates to our family of thinking models Behind “ANCESTRA”: combining Veo with live-action filmmaking How we're supporting better tropical cyclone prediction with AI
Start building with Gemini 3
Logan Kilpatrick · 2025-11-19 · via Google DeepMind News

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

General summary

Google is launching Gemini 3 Pro, their most intelligent model, which outperforms previous versions in AI benchmarks and coding tasks. You can access it through the Gemini API in Google AI Studio and Vertex AI, or try the Google Antigravity platform for agentic development. Start building now and explore its capabilities in multimodal understanding, visual reasoning, and vibe coding.

Summaries were generated by Google AI. Generative AI is experimental.

Bullet points

  • "Start building with Gemini 3" introduces Google's most intelligent model for bringing any idea to life.
  • Gemini 3 Pro surpasses previous versions in AI benchmarks and excels at agentic workflows and coding tasks.
  • You can use Gemini 3 Pro in Google AI Studio, Vertex AI, and developer tools like Google Antigravity.
  • The model unlocks "vibe coding," letting you create apps from natural language prompts in Google AI Studio.
  • Gemini 3 Pro excels in multimodal understanding, visual reasoning, and spatial reasoning for various applications.

Summaries were generated by Google AI. Generative AI is experimental.

Explore other styles:

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.

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.

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.

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.

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!