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.
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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.
Data sources
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.aiOpen 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.aiOpen 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 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.ai +3 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.aiOpen chartResponse TimeIQ vs End-to-End Response TimeEach model's IQ against its end-to-end response time, built from its own components: time to first answer token (which grows with input length) plus output tokens ÷ tokens-per-second. Drag the input slider (1K–10K tokens) and output slider (100–10K tokens) to see how total latency scales.Data: AI IQ methodology, Artificial AnalysisOpen chart