IQ vs Effective Cost
Each model's estimated IQ plotted against effective cost per 1M I/O Tokens (sticker price × measured or imputed usage multiplier).
IQ vs Effective Cost
IQ vs Effective Cost
Each model's estimated IQ plotted against effective cost per 1M I/O Tokens (sticker price × measured or imputed usage multiplier).
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How to read this chart
Each point is a public model. The chart compares IQ against Effective Cost (per 1M I/O Tokens), with color showing the model provider.
Data sources
CostEQ 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 chartCostAI 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 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 chartCoreAI 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 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