QwenSVGBench
QwenSVGBench - in-house SVG code generation benchmark; bilingual (EN/CN), auto-render + multimodal judge; BT/Elo rating.
Category
Agentic Coding
Score type
elo
Scale
relative
higher is better
Models tested
1
What is QwenSVGBench?
QwenSVGBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: "QwenSVGBench - in-house SVG code generation benchmark; bilingual (EN/CN), auto-render + multimodal judge; BT/Elo rating". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
QwenSVGBench 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: QwenSVGBench - in-house SVG code generation benchmark; bilingual (EN/CN), auto-render + multimodal judge; BT/Elo rating.
Frequently asked questions
What is the QwenSVGBench benchmark?
QwenSVGBench is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'QwenSVGBench - in-house SVG code generation benchmark; bilingual (EN/CN), auto-render + multimodal judge; BT/Elo rating'. Below we describe in simple words what benchmarks of this type generally examine.
What does QwenSVGBench test?
QwenSVGBench 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 QwenSVGBench 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 QwenSVGBench 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/qwensvgbench/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
|
1713 Elo
|
18.08.2026 | Report | Verified |