Gemini 3, our most intelligent model that helps you bring any idea to life, is now available for mobile and web developers to use through Firebase AI Logic client SDKs! This gives you direct access to Gemini 3 Pro preview via the Gemini API for developers on the Blaze plan, so you can securely build AI-powered features and richer app experiences seamlessly in your client apps without needing to do any server side setup.

Try out Gemini 3’s capabilities

Firebase AI Logic supports the vast majority of Gemini 3’s capabilities, including improved thinking, function calling, thought signatures, and the new default resolution for input media to give you higher quality output.

Thought signatures

Gemini 3 responses include a thought_signature field within any content part (for example: text, functionCall, inlineData). These signatures are encrypted representations of the model’s internal thought process and are essential to maintain thought context across turns. The Firebase AI Logic client SDKs automatically handle thought signatures for you, ensuring the model has access to the thought context from previous turns without requiring you to do any manual orchestration.

New default resolution for input media

Gemini 3 introduces granular control over multimodal vision processing via the media_resolution parameter. While the new default higher resolution improves the model’s ability to read fine text or identify small details, it can increase token usage and latency. That’s why we’ll soon be releasing a configurable parameter in the client SDKs so that you can control input media resolution.

Thinking levels

We’ll also be adding support for configuring Gemini 3’s thinking levels to give you a more intuitive way to configure how much “thinking” the model can do. But in the meantime, you can still use thinking budgets to reduce latency and manage costs today.

Get started with Gemini 3 in Firebase AI Logic today

Firebase AI Logic can help you harness the incredible reasoning powers of Gemini 3 across platforms (Android, Flutter, Web, iOS, and Unity). You can start experimenting with Gemini 3 Pro preview by specifying gemini-3-pro-preview in your initialization code:

val model = Firebase.ai(
  backend = GenerativeBackend.googleAI()
).generativeModel(
  modelName = "gemini-3-pro-preview",
  generationConfig = generationConfig {
    thinkingConfig = thinkingConfig {
      includeThoughts = true
    },
    temperature = 1.0f
  }
)

val response = model.generateContent(
  "You roll two dice. What’s the probability they add up to 7?"
)

response.thoughtSummary?.let {
  println("Thought Summary: $it")
}
response.text?.let {
  println("Answer: $it")
}

Get insight into Gemini 3’s performance

It’s important to monitor the costs, usage, and performance of your AI features so you can understand what normal usage looks like in your production app, and have peace of mind that you’re staying within the thresholds you want.

Firebase provides an AI monitoring dashboard that gives you comprehensive visibility into your AI usage and lets you slice data by different dimensions - such as model name. In addition to comparing how Gemini 3 performs vs. previous models, you can track latency, success/failure rates, and request/response sizes. You can also inspect traces to see your requests’ attributes, inputs, and outputs, which can improve debugging and help you optimize your AI implementation to deliver the best user experience.

Integrate Firebase services for increased security and scale

Gemini 3 is Google’s most secure model yet, having undergone the most comprehensive set of safety evaluations of any Google AI model to date. On top of that, Firebase AI Logic seamlessly integrates with other Firebase services to help you build even more secure and privacy-conscious AI experiences, and scale with ease.

For instance, with Firebase App Check, you can further safeguard your API resources by preventing unauthorized access to your backend resources. By using Firebase Remote Config, you can dynamically update models, prompts, model parameters, feature flags, and A/B test new features powered by Gemini 3 without requiring users to download an app update.

Grow your app with AI

Firebase can help you quickly and securely transform and grow your app with AI. Whether that’s automating the process to generate user reviews that boost your app store ranking, or building smarter, privacy-first AI features, Gemini 3 and Firebase AI Logic can unlock new levels of success. Start using Google’s most intelligent model today directly in your mobile and web apps!

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