AndroidBench
AndroidBench - evaluated on the 95-task public subset, reporting avg@3 scores.
Category
Agentic Coding
Score type
percent
Scale
relative
higher is better
Models tested
1
What is AndroidBench?
AndroidBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: "AndroidBench - evaluated on the 95-task public subset, reporting avg@3 scores". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
AndroidBench measures how well a model works as an autonomous coding agent. In detail, it checks:
- fixing real, open bugs from real software repositories
- planning multi-step changes, running commands and editing files by itself
- passing the project's test suite after its changes
- handling whole repositories, not just small isolated code snippets
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Official methodology note: AndroidBench - evaluated on the 95-task public subset, reporting avg@3 scores.
Frequently asked questions
What is the AndroidBench benchmark?
AndroidBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'AndroidBench - evaluated on the 95-task public subset, reporting avg@3 scores'. Below we describe in simple words what benchmarks of this type generally examine.
What does AndroidBench test?
AndroidBench mainly measures how well a model works as an autonomous coding agent. Concretely, it checks: fixing real, open bugs from real software repositories; planning multi-step changes, running commands and editing files by itself; passing the project's test suite after its changes.
How is the AndroidBench score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Where do I get AndroidBench data and scores?
The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/androidbench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Model scores 1 model tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Qwen3.8-2.4T-A95B
Qwen
|
75.1%
|
18.08.2026 | Report | Verified |