Skip to content(if available)orjump to list(if available)

State of AI: An Empirical 100T Token Study with OpenRouter

State of AI: An Empirical 100T Token Study with OpenRouter

4 comments

·December 4, 2025
Visit

themanmaran

> 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.

reeeli

I'm out of time but "reasoning input tokens" from fortune 5000 engineers sounds like a lobotomized LSD dream, would you care on elaborating how you distinguish between reasoning and non-reasoning? vs "question on duty"?

typs

I believe they’re just classifying all models into “reasoning models” eg o3 vs “non reasoning models” eg 4o and just doing a comparison of total tokens (input tokens + hidden reasoning output tokens + shown output tokens)

typs

This is really amazing data. Super interesting read