Sticker Price vs Effective Cost
Each model's published sticker price for 1M I/O Tokens plotted against its effective cost after the measured or imputed task-usage multiplier. Points above the dashed line cost more per task than their sticker price suggests.
Sticker Price vs Effective Cost
Sticker Price vs Effective Cost
Each model's published sticker price for 1M I/O Tokens plotted against its effective cost after the measured or imputed task-usage multiplier. Points above the dashed line cost more per task than their sticker price suggests.
How to read this chart
Each point is a public model. The chart compares Effective Cost (per 1M I/O Tokens) against Sticker Price (per 1M I/O Tokens), with color showing the model provider.
CostAI Models by CostPublished price for 1M I/O Tokens compared with effective cost after applying the measured or imputed task-usage multiplier.Data: Artificial Analysis, ARC Prize, Vals Index v2 Cost per Test +1 moreOpen chartCostTask EfficiencyEach dot shows the inverse of the effective-cost usage multiplier. Higher means less price-adjusted task work: 2× is about half the median task effort. Source-backed multipliers are preferred; lineage, peer, and 1× fallbacks are labeled in tooltips.Data: Artificial Analysis, ARC Prize, Vals Index v2 Cost per Test +1 moreOpen chartCostIQ vs Effective CostEach model's estimated IQ against its effective cost per 1M I/O Tokens (sticker price × measured or imputed usage multiplier).Data: AI IQ methodologyOpen chartCostEQ vs Effective CostDiagnostic EQ plotted against effective cost per 1M I/O Tokens (sticker price × measured or imputed usage multiplier).Data: Artificial Analysis, ARC Prize, Vals Index v2 Cost per Test +4 moreOpen chartCoreIQ vs EQ vs Cost in 3D3D scatter: X = diagnostic EQ, Y = IQ, Z = effective cost (log). Color = provider. Drag to rotate.Data: Artificial Analysis, ARC Prize, Vals Index v2 Cost per Test +1 moreOpen chartResponse TimeIQ vs Completion TimeEach model's estimated IQ against its completion time, which is time to last token (TTLT). Drag the input (1K–10K tokens) and output (100–10K tokens) sliders to see how it changes with the workload.Data: AI IQ methodology, Artificial AnalysisOpen chart