Google's new benchmark ranks AI models for Android coding
Google just dropped Android Bench, a new leaderboard that ranks AI models (LLMs) on how well they handle real Android development tasks.
The tasks come straight from popular GitHub projects, so the results actually reflect what developers face day-to-day.
The goal? Make it easier for developers to pick the right AI tool and help model creators see where their tech needs work.
Real-world tasks over theoretical tests
Instead of generic coding tests, Android Bench uses actual changes from real apps—small tweaks, medium updates, and big overhauls—to see how AIs perform in practical scenarios.
This means the rankings are more relevant if you're building or maintaining Android apps.
Gemini is currently the best at Android coding
As of March 4, 2026, Google's own Gemini 3.1 Pro Preview is leading with a 72.4% score, followed by Claude Opus 4.6 and GPT-5.2-Codex.
So if you're curious about which AI is best at coding for Android right now, Gemini's on top.
Why it matters
If you're building apps or just interested in tech trends, this benchmark could help you choose smarter tools—or potentially influence future app development as AI-assisted coding improves.