Agentic Coding Benchmark

QwenReactBench

QwenReactBench - in-house React project building benchmark using Claude Code harness. Bilingual (EN/CN), 7 categories; auto-render + multimodal judge; BT/Elo rating.

Category

Agentic Coding

Score type

elo

Scale

relative

higher is better

Models tested

1

What is QwenReactBench?

QwenReactBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: "QwenReactBench - in-house React project building benchmark using Claude Code harness". Below we describe in simple words what benchmarks of this type generally examine.

What does it test?

QwenReactBench 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 an Elo rating, built from head-to-head comparisons between models (like chess ratings). The number is only meaningful relative to the other rated models — higher is better.

Official methodology note: QwenReactBench - in-house React project building benchmark using Claude Code harness. Bilingual (EN/CN), 7 categories; auto-render + multimodal judge; BT/Elo rating.

Frequently asked questions

What is the QwenReactBench benchmark?

QwenReactBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'QwenReactBench - in-house React project building benchmark using Claude Code harness'. Below we describe in simple words what benchmarks of this type generally examine.

What does QwenReactBench test?

QwenReactBench 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 QwenReactBench score calculated?

The score is an Elo rating, built from head-to-head comparisons between models (like chess ratings). The number is only meaningful relative to the other rated models — higher is better.

Where do I get QwenReactBench 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/qwenreactbench/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
1724 Elo
18.08.2026 Report Verified

What now?

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