Google has introduced new benchmarks designed to evaluate how effectively artificial intelligence models can develop Android applications. The platform, called Android Bench, measures the performance of various AI systems on tasks related to app development and ranks them in a public leaderboard.
The company said the initiative aims to help developers identify the most capable AI tools when building apps and experiences for the Android ecosystem.
Google’s Android Bench
According to the post, Android developer blogAndroid Bench is the official benchmark for large-scale language models (LLMs) used for Android app development. The post states that the benchmark includes a carefully selected set of tasks to reflect common issues encountered during app development.
The set of tasks includes aspects of network programming of the wearable and migrating the app to a new version of Jetpack Compose. The assignments are taken from a public repository hosted on GitHub and validated based on input from several developers of the AI model.
Google noted that the benchmark was created to set a standard for evaluating AI programming assistance within the Android ecosystem.
Google also released benchmark methodologies, datasets, and testing frameworks on GitHub. The company aims to help developers and AI researchers validate their results and contribute to process improvements.
To avoid data contamination, where test answers may be used as part of the model training data, the benchmarks primarily target inference-based tests rather than memorization tests.
Early results show Gemini 3.1 Pro as the best model on the Android Bench leaderboard. Other top-performing AI models include Claude Opus 4.6, GPT 5.2 Codex, Opus 4.5, and Gemini 3 Pro.
Android developers can use API access to test these AI models in the latest stable version of Android Studio.
Google aims to expand Android Bench in future versions by adding more tests so that it remains a viable benchmark for AI-based Android development tools.
