• Source:JND

Google has released a new benchmark to measure what it says is the best current approach for AI-based models that can write Android apps. Called Android Bench, the platform evaluates AI models on how well they perform various Android development tasks, allowing developers to determine which peer-agreeing AIs are best for building apps. To promote transparency and broader adoption, the company has also open-sourced the benchmark's methodology, dataset, and testing framework on GitHub.

What Is Android Bench?

Android Bench was announced in a post on the Android Developers Blog by Google. Company calls it the official LLM leaderboard for Android dev

This benchmark “is meant to be a clear, consistent baseline for developers and AI researchers on what high-quality Android development looks like".

Android Bench measures performance on AI models based on a curated set of tasks that represent realistic scenarios for on-device Android development.

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How Android Bench Works

Using a set of tasks to validate all the common areas of Android app development, the benchmarks include them. The tasks were sourced from publicly available GitHub Android repositories and validated by several AI model developers.

The evaluation tasks cover areas such as:

- Networking on wearable devices

- Helping projects migrate to the latest version of Jetpack Compose

- Solving real-world Android development challenges

According to Google, the benchmark prioritises reasoning-based tasks over memorisation so as not to incur data leakage. This method guarantees that models are rigorously evaluated on actual problem-solving skills (as opposed to simply memorising training data).

The methodology, dataset, and testing harness used for Android Bench are also open-sourced on GitHub.

Current Android Bench Leaderboard

The initial version of the benchmark evaluates a few popular AI models on their ability to perform Android development tasks.

Top AI Models on Android Bench

1. Gemini 3.1 Pro

2. Claude Opus 4.6

3. GPT 5.2 Codex

4. Opus 4.5

5. Gemini 3 Pro

According to Google, developers can access these AI models through API keys in the most recent stable version of Android Studio.

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Future Updates Planned

Note that Android Bench at this time is primarily focused on model performance and does not yet incorporate agentic capabilities or tool usage.

Google intends to refine the benchmark over time with the following:

- Increasing the number of evaluating tasks

- Increasing task complexity

- Refining the method to keep dataset validity

We hope that the upcoming versions of Android Bench will be even more complete and useful for developers.


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