Bring any idea to life with Gemini 3 and Firebase AI Logic
Blog post from Firebase
Gemini 3 Pro preview is now accessible to Firebase Blaze-plan developers through Firebase AI Logic client SDKs for Android, Flutter, web, iOS, and Unity, allowing AI features to be built directly into client applications without server-side setup. The SDKs support capabilities including improved reasoning, function calling, encrypted thought signatures that preserve context across conversations, and higher-default-resolution multimodal input processing, with future controls planned for media resolution and thinking levels; developers can currently use thinking budgets to balance latency and cost. Firebase’s AI monitoring dashboard provides visibility into model usage, latency, error rates, request and response sizes, and traces for debugging and optimization. The integration also works with Firebase App Check to restrict unauthorized backend access and Remote Config to update models, prompts, parameters, and feature experiments without requiring app releases.
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