reasoning benchmark
WebDev Arena is a leaderboard that evaluates AI models on web development tasks and ranks them using Elo ratings.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score1,588.00 points | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and 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 webdev arena AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Gemini 3.7 Flash currently leads WebDev Arena with 1,588.00 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 WebDev Arena measures and how its scores work.
WebDev Arena is a benchmark for evaluating AI models on web development challenges, including zero-shot generation, complex prompts, and interactive web UI creation.
It measures model performance in coding and web development challenges using the Score metric in points and Elo ratings.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about WebDev Arena.
Gemini 3.7 Flash is currently ranked first with 1,588.00 points.
The current leaders are Gemini 3.7 Flash (1,588.00 points).
Gemini 3.7 Flash has the lowest matched official input price at $0.75 input / $3.8 output per 1M tokens.
The fastest matched records are Gemini 3.7 Flash (117.86 tok/s via Google).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures model performance in coding and web development challenges using the Score metric in points and Elo ratings.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.