Agentic Coding Benchmark

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.

Model scores 1 model tested

Reset
# Model Score Date Source Verified
1 Qwen3.8-2.4T-A95B
Qwen
75.1%
18.08.2026 Report Verified

What now?

You've seen how models score on AndroidBench — here's what to do next.