WebDev ArenaactiveCodingArena

WebDev Arena: LMArena WebDev Arena

Metric: Arena Score (higher is better)Introduced: 2024

Crowdsourced human-preference leaderboard for web-development generation run by LMArena. Voters compare two anonymous models building the same web app from a prompt and pick the better one; ratings use a Bradley-Terry model with 95% confidence intervals. Higher is better.

Configurations

1

tracked on this benchmark

Score band

1768.0 – 1768.0

best → lowest tracked

Snapshot trend

—

need ≥2 snapshots

Leaderboard

Tracked models ranked by Arena Score (higher is better).

Compare candidates
#Published configuration and provenanceScore
1

Configuration: Gemini 4 Carbon (High)

Version: webdev overall 2026-10-28Harness: LMArena blind pairwise human votes, Bradley-TerryEvaluator: LMArenaObserved: Oct 29, 2026Confidence: confirmedSource

Notes: LMArena WebDev leaderboard, webdev category, published 2026-10-28 (HF lmarena-ai/leaderboard-dataset @4491b06c, latest split). Board entry 'Gemini 4 Carbon (High)': rank 4, Arena Score 1768.2 (95% CI 1753.2-1783.2), 2230 votes. Google blog states 1768. Retrieved 2026-10-29.

1768.0

Attribution. Source: LMArena (lmarena.ai), CC BY 4.0

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • The row names the exact model configuration, benchmark version, evaluator, harness, and observation date.
  • Cost, token, and step averages are evaluated together with the score for the same configuration.
  • You validate the configuration in your own Cursor workload before making a model choice.

Be cautious when

  • Rows are collapsed into one score per base model or compared across benchmark versions.
  • Small score differences are treated as decisive despite Cursor's variance caveat.
  • A qualified row, including Grok 4.5's disclosed training-data advantage, is used as neutral winner evidence.

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Last reviewed: Oct 29, 2026