AI tools have undeniably made a significant impact on coding and app development, and Google is now delving into the realm of Android app creation with a fresh initiative. The tech giant is actively testing various AI models to determine which are most effective for this purpose, introducing a new platform known as “Android Bench.”
This innovative leaderboard evaluates the performance of leading AI language models (LLMs) in the context of Android app development. Google rigorously assesses these models against a series of benchmarks designed to measure their capabilities in various critical areas. These include their ability to work with Jetpack Compose for user interface design, manage asynchronous programming through Coroutines and Flows, and utilize Room for data persistence, along with Hilt for dependency injection. Furthermore, the evaluation encompasses navigation migrations, Gradle/build configurations, and the management of breaking changes that may arise from SDK updates. Google also examines how well these tools interact with both fundamental and specialized components of Android, such as the camera, system UI, media handling, and adaptations for foldable devices.
AI-assisted software engineering has seen the emergence of several benchmarks to measure the capabilities of LLMs. Android developers face specific challenges that aren’t covered by existing benchmarks, so we created one that focuses on Android development.
With the methodology clearly outlined, the question arises: which AI model stands out as the best for Android app development? Unsurprisingly, Google has identified Gemini 3.1 Pro Preview as the frontrunner, achieving an impressive score of 72.4% on the benchmark. Following closely is Claude Opus 4.6, with OpenAI’s GPT 5.2 Codex rounding out the top three. In contrast, Gemini 2.5 Flash lagged significantly behind, recording a mere 16.1%.
Best AI for Android app development, according to Google
- Gemini 3.1 Pro Preview: 72.4%
- Claude Opus 4.6: 66.6%
- GPT-5.2 Codex: 62.5%
- Claude Opus 4.5: 61.9%
- Gemini 3 Pro Preview: 60.4%
- Claude Sonnet 4.6: 58.4%
- Claude Sonnet 4.5: 54.2%
- Gemini 3 Flash Preview: 42%
- Gemini 2.5 Flash: 16.1%
By sharing these rankings and scores, Google aims to foster advancements in LLMs tailored for Android development, ultimately striving to enhance developer productivity and elevate the quality of applications throughout the Android ecosystem.
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