IQ vs EQ vs Cost in 3D
3D scatter: X = diagnostic EQ, Y = IQ, Z = effective cost (log). Color = provider. Drag to rotate.
IQ vs EQ vs Cost in 3D
IQ vs EQ vs Cost in 3D
3D scatter: X = diagnostic EQ, Y = IQ, Z = effective cost (log). Color = provider. Drag to rotate.
Controls:
How to read this chart
The 3D scatter combines quality and cost dimensions in one view. Drag the plot to rotate and compare clusters.
Data sources
CoreAI Models on the IQ Bell CurveEach model's estimated IQ plotted on a standard normal IQ distributionData: ARC Prize, Epoch AI FrontierMath, Vals.ai +25 moreOpen chartCoreFrontier IQ Over TimeX = release date. Y = estimated IQ. Provider step-lines connect each provider's flagship frontier checkpoints over time.Data: ARC Prize, Epoch AI FrontierMath, Vals.ai +25 moreOpen chartCoreIQ vs EQX = diagnostic EQ. Y = IQ. Color = model provider.Data: Arena.ai, EQ-Bench 3, AttuneBench +28 moreOpen chartCoreAI Models by Country Over TimeEach bar counts the AI models AI IQ tracks that had been released by that month, stacked by the country of the company that trained them.Data: AI IQ datasetOpen chartCoreAI Model Share by Country Over TimeThe national origin of tracked AI models as a share of the total — each month normalized to 100%, so the changing balance between countries is easy to read.Data: AI IQ datasetOpen chartCostIQ vs Effective CostEach model's estimated IQ plotted against effective cost per 1M I/O Tokens (sticker price × measured or imputed usage multiplier).Data: AI IQ methodologyOpen chart