QwenQoderBench

QwenQoderBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: "QwenQoderBench - in-house coding benchmark to evaluate user experience on Qoder". Below we describe in simple words what benchmarks of this type generally examine.

QwenQoderBench 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

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: QwenQoderBench - in-house coding benchmark to evaluate user experience on Qoder. Evaluated with Claude Code harness, avg@5, 6-hour timeout, max_tokens=32768, temp=1.0, 256K context.

What is the QwenQoderBench benchmark?

QwenQoderBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'QwenQoderBench - in-house coding benchmark to evaluate user experience on Qoder'. Below we describe in simple words what benchmarks of this type generally examine.

What does QwenQoderBench test?

QwenQoderBench 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 QwenQoderBench 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 QwenQoderBench 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/qwenqoderbench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.