AIME
A bird's-eye view of the benchmark: what it measures and every AI IQ chart built on it.
About AIME
AIME has source-backed multi-effort configurations. The Cost Efficiency chart expands only those configurations; the score bar remains one canonical row per model.
AIME Cost Efficiency
AIME 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 AIME 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.
Data sources
AIME Benchmark Scores
AIME Benchmark Scores
Each model's AIME 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
AIME vs Effective Cost
AIME vs Effective Cost
X = effective cost (log). Y = AIME %. Color = provider.
Controls:
How to read this chart
Each point is a public model. The chart compares AIME % against Effective Cost (per 1M I/O Tokens), with color showing the model provider.
Data sources