Cost

How models trade off intelligence against 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).
Controls:
IQ1:1Cost

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
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.
Controls:
IQ1:1Cost

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
IQ vs Blended Token Cost
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).
Controls:
IQ1:1Cost

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).

Data sources
Input Price vs Output Price
Each 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.
Controls:

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.

Data sources
Task Efficiency
Each 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.
Controls:

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.

AI Models by Cost
Published price for 1M I/O Tokens compared with effective cost after applying the measured or imputed task-usage multiplier.
Controls:

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.

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.
Controls:

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.