Posts with tag model-tiering

I ran one model for everything and blamed the plan when usage climbed. The fix was splitting the work, and the saving turned out to have nothing to do with token price.

Claude Fable 5 launched this week — record benchmarks, twice the price of Opus. My production pipeline's config hasn't changed, and that's not neglect. Benchmarks measure raw models. Pipelines run calibrated ones.

Running the most powerful model on every task is wasteful and slow. Here is how I split work across Haiku, Sonnet, and Opus — and why it matters at scale.