Token efficiency is the number I actually optimize for — resolution rate matters, but a harness that burns 30% fewer tokens on equivalent tasks gives you more iterations and richer context before hitting limits. Would be interested to see this breakdown per-model rather than per-harness; same harness with different models can have very different efficiency profiles.

There's no point in comparing that. As long as you use a model and harness from the same company, it will always be cheaper than relying on middlemen like Microsoft. But the more expensive AI gets, the more people will do Bring Your Own Key or host their own models. In that case, the efficiency of the harness is very important to know.