BrowseComp

A bird's-eye view of the benchmark: what it measures and every AI IQ chart built on it.

About BrowseComp

BrowseComp has source-backed multi-effort configurations. The Cost Efficiency chart expands only those configurations; the score bar remains one canonical row per model.

BrowseComp Cost Efficiency
Source-backed reasoning and nonreasoning configurations plotted against runtime effective cost. Each line is one canonical model. Color = provider.

How to read this chart

This chart compares source-backed BrowseComp configurations with runtime effective cost. Multiple reasoning levels for the same model are connected; models with one available level remain standalone points. Up and to the left is better.

BrowseComp Benchmark Scores
Each model's BrowseComp score. Color = provider.

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
BrowseComp vs Effective Cost
X = effective cost (log). Y = BrowseComp %. Color = provider.
Controls:
BrowseComp1:1Cost

How to read this chart

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