Frontend Engineering

A bird's-eye view of the dimension: the main IQ chart, the effective-cost frontier, and the benchmark charts that feed it.

Frontend Engineering IQ
Each model's Frontend Engineering IQ plotted on a standard normal IQ distribution
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How to read this chart

Models are placed on a standard IQ-style distribution using Frontend Engineering IQ. Higher scores appear farther to the right.

Benchmarks in this dimension

Frontend Engineering vs Effective Cost
X = effective cost (log). Y = Frontend Engineering IQ. Color = provider.
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Frontend Engineering1:1Cost

How to read this chart

Each point is a public model. The chart compares Frontend Engineering IQ against Effective Cost (per 1M I/O Tokens), with color showing the model provider.

Arena.ai WebDev Scores
Arena.ai WebDev Elo scores for front-end web development. Color = provider.
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How to read this chart

Bars rank models by the source-backed benchmark value used for this chart. Longer bars indicate higher published scores.

Data sources
Vibe Code Bench Scores
Vals.ai Vibe Code Bench v1.1 accuracy for building web applications from scratch. Color = provider.
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How to read this chart

Bars rank models by the source-backed benchmark value used for this chart. Longer bars indicate higher published scores.

DesignArena Full Stack Scores
DesignArena Full Stack Elo for end-to-end frontend + backend builds. Color = provider.
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How to read this chart

Bars rank models by the source-backed benchmark value used for this chart. Longer bars indicate higher published scores.

DesignArena Frontend Scores
DesignArena Frontend Elo for agentic front-end web apps. Color = provider.
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How to read this chart

Bars rank models by the source-backed benchmark value used for this chart. Longer bars indicate higher published scores.