Google updates Android Bench with new LLMs, but Gemini still lags behind
Code generation is emerging as one of the most popular applications for large language models (LLMs), but not all agents are equally good at all development tasks. Google created a benchmark earlier this year to evaluate how LLMs perform in Android app development, and Android Bench is getting a big update today. The leaderboard now includes a raft of new models, and Google has adopted a new framework that should be easier to use. Developers are invited to run their own tests and submit feedback
Android Bench is a testing tool that measures how well large language models perform at Android app development tasks, evaluating them across 100 different coding problems. Google recently updated the benchmark to include new models and a more user-friendly testing framework, while also adding metrics for cost and efficiency. The results show that Google's own Gemini model ranks in fifth place for accuracy, behind competitors like Claude Fable 5 and GPT 5.4, though Gemini is more cost-effective to run than some top performers. Google is inviting developers to contribute their own test cases and feedback to help shape how Android Bench evolves, reflecting the company's broader push toward using AI agents for software development.
Explainer: How to Actually Read an AI Benchmark (Without Being Fooled)
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