Evolving how LLMs are measured for Android: the next era of Android Bench
Evolving how LLMs are measured for Android: the next era of Android Bench
Publish Date: 2026-07-09 12:48:00
Source Domain: sdtimes.com
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 leaderboard — Claude Fable 5, Sonnet 5 and Opus 4.8; GLM 5.2; Kimi K2.7; MiniMax M3; and Qwen 3.7 Plus and 3.7 Max.
“From the beginning, we’ve valued an open and transparent approach, which is why we made our original methodology and test harness publicly available on GitHub,” the company wrote in the blog. “Now we’re taking collaboration a step further by giving you, the Android developer community, a chance to shape Android Bench.”
Developers can now design and submit Android development tasks and see how the models handle the scenarios important to them, and now can actually run benchmark evaluations to test the models they use against Android’s dataset of tasks. Those tasks can be found in this GitHub repository and developers can submit evaluations or explore Android’s data at Harbor Hub.
“With more and more options for agentic development,” the blog concluded, “maintaining a cutting-edge benchmark ensures that the AI assistance you rely on keeps getting smarter, more helpful, and more effective.”
