Hard project
This format replaces average per-message estimates with a direct mapping between token usage and credits. It is most useful when you want a clearer view of how input, cached input, and output affect credit consumption. Under this model, actual credit usage depends on the mix of input, cached input, and output tokens in each task. The table below displays credits per 1M tokens for each token type.
Project rationale
This format replaces average per-message estimates with a direct mapping between token usage and credits. It is most useful when you want a clearer view of how input, cached input, and output affect credit consumption. Under this model, actual credit usage depends on the mix of input, cached input, and output tokens in each task. The table below displays credits per 1M tokens for each token type.
End of project
All work