Google Updates Android Bench with New LLMs, but Gemini Still Lags Behind

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…

Google is changing how it judges AI models for Android coding, updates list with Fable 5

Google is changing how it tests AI models for Android coding following new rankings led by Fable 5. Google released...

Evolving how LLMs are measured for Android: the next era of Android Bench

The July release of Android Bench — its LLM benchmark leaderboard for Android development tasks — is now based upon the Harbor framework for evaluating models, Google has announced. In its blog post announcing the updates, the company noted that when Android Bench was introduced in March, the goal was to offer insights into model capabilities, offer AI options and to urge improving the models. In this release, eight models have been added to the…

Google expands Android Bench with new evaluation framework and eight additional AI models

The changes are part of the benchmark's July release and are intended to provide a more accurate assessment of how AI models perform on real-world Android coding tasks.

Google's Updated Android Bench: Optimizing AI for Developers

Google is giving Android developers a clearer way to see which AI models are actually useful when building Android apps, not just which ones look good on a generic coding leaderboard. The company has updated Android Bench, its leaderboard for measuring how large language models handle real-world Android development tasks. The July release brings a […]