WebCoderBench: leaderboard

Tests generation of native-HTML web apps from 1,572 real user requirements collected by an industrial partner, scored on 24 rule-based and LLM-judged metrics across nine perspectives such as code, visual and content quality and requirement alignment. The overall score sums the metric z-scores weighted by survey-derived user preferences, in percent of a standard deviation relative to the evaluated pool, higher is better; Liu et al. (Peking University), 2026.

Metric: Overall score: preference-weighted sum of metric z-scores (% of a standard deviation). Source: arxiv.org. Saturation forecast: Around January 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 (High)13.81#163 (GPT-5)
2GLM-4.511.76#525
3MiniMax-M27.89#669
4DeepSeek V3.1 Terminus6.26#442
5DeepSeek R1 05282.41#425
6Gemini 2.5 Pro0.27#262
7GPT-5 Codex (High)-0.03#240 (GPT-5 Codex)
8Qwen 3 235B A22B Instruct-0.04#680
9Qwen 3 Coder Plus-2.31#712
10DeepSeek V3.1 (Thinking)-3.73#500 (DeepSeek V3.1)
11DeepSeek V3.1-3.88#500
12GPT-4o (2024-11-20)-38.65#864

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=webcoderbench · How It Works · Data refreshed daily, snapshot 2026-11-12.