Cost
How models trade off intelligence against cost
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.
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.
How to read this chart
Each 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).
How to read this chart
Each point is a public model. The chart compares Input Price (per 1M tokens) against Output Price (per 1M tokens), with color showing the model provider.
How to read this chart
Higher values indicate better task efficiency: the model needs less price-adjusted work than the median model for comparable tasks. Tooltips label whether the multiplier is measured, lineage-imputed, peer-imputed, or assumed at 1x.
How to read this chart
Each model's published sticker price is compared with its effective task cost after the measured or imputed usage multiplier is applied. Rows need positive input and output pricing; zero/free-only rows are not treated as $0 effective cost.
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.