Try it free of charge in Google AI Studio
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Bring any idea to life with Gemini 3

Hi Eionnewreductlonelectrlc,

You can now build and test with Gemini 3 in Google AI Studio, or access the model via the Gemini API with a paid key.

  • Vibe code: Build web apps with exceptional zero-shot generation and richer UI
  • Reason across modalities: Handle complex multimodal inputs with state-of-the-art reasoning
  • Build agents: Utilize improved agentic coding, tool use, and instruction following

Bring any idea to life with a simple prompt

Check out these open source apps built with Gemini 3 - remix to make them your own in Google AI Studio:
Bring Anything to Life - turn any image into an interactive experience
Visual Computer - draw to control a virtual OS
Shader Pilot - build a complex 3D world with customizable
Research Visualization - transform research paper into an interactive site
Tempo Strike - slash sparks to the beat using webcam and your hands

For more apps, web pages, games, and 3D visualization examples, explore the apps gallery. When you're ready, deploy your creation directly from Google AI Studio or save the code to GitHub.
 

New API features for Gemini 3

With Gemini 3, we are introducing new parameters designed to give developers more control over latency, cost, and multimodal fidelity. To learn more about the new API parameters, see the Gemini 3 Developer Guide.

thinking_level

Configure thinking levels to adjust the model’s internal reasoning depth.

media_resolution

Define per part vision token usage based on your required level of visual fidelity.

thought_signature

Preserve agentic reasoning in multi-tool workflows with stricter validation.

Start building with the API 

You can use our SDKs for Python, JavaScript, and Go, or make a direct REST API call with cURL. Get your API key, select a billing-enabled project for your API key, and start building.

from google import genai


client = genai.Client()


prompt = "Find the race condition in this multi-threaded C++ snippet: [code here]"


response = client.models.generate_content(

  model="gemini-3-pro-preview",

  contents=prompt

)


print(response.text)

Ready to build?

Explore all model capabilities and get advanced prompting tips.

Start building by vibe coding apps in Google AI Studio.

Happy building, 

The Google AI Studio team

 

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