multimodal benchmark
Design2Code evaluates the ability to generate code (HTML/CSS/JS) from visual designs.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelZA | Score0.948 points | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score0.934 points | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis design2code AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
GLM-5V-Turbo currently leads Design2Code with 0.948 points. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What Design2Code measures and how its scores work.
Design2Code evaluates the ability to generate code (HTML/CSS/JS) from visual designs.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Design2Code.
GLM-5V-Turbo is currently ranked first with 0.948 points.
Design2Code evaluates the ability to generate code (HTML/CSS/JS) from visual designs.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.