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.
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]"
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