Start building with Gemini 3

Gemini 3 for developers: New reasoning, agentic capabilities

Start building with Gemini 3

Nov 18, 2025

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

Logan Kilpatrick

Product Lead, Google AI Studio and the Gemini API

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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.

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"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.

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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.

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.

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.

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…