> The metric reflects the proportion of all tokens served by reasoning models, not the share of "reasoning tokens" within model outputs.

I'd be interested in a clarification on the reasoning vs non-reasoning metric.

Does this mean the reasoning total is (input + reasoning + output) tokens? Or is it just (input + output).

Obviously the reasoning tokens would add a ton to the overall count. So it would be interesting to see it on an apples to apples comparison with non reasoning models.

This is really amazing data. Super interesting read