IQ vs Input/Output Token Cost
Each model's estimated IQ plotted against its published token price. Toggle between input and output price per 1M tokens.
IQ vs Input/Output Token Cost
IQ vs Input/Output Token Cost
Each model's estimated IQ plotted against its published token price. Toggle between input and output price per 1M tokens.
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How to read this chart
Each model's estimated IQ plotted against its published token price. Toggle between input and output price per 1M tokens.
Data sources
CostIQ vs Blended Token CostEach model's estimated IQ plotted against the cost of a representative 1M-token blend. Toggle between a coding blend (cache-heavy — 800K cache-read + 100K input + 100K output) and a copywriting blend (output-heavy — 150K input + 850K output).Data: AI IQ methodologyOpen chartCostInput Price vs Output PriceEach model positioned by its published token prices — input price (Y) against output price (X), both per 1M tokens on a log scale. The dashed line is the best fit across models, showing the typical output-to-input price relationship.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 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 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 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 chart