Arca uses internal benchmarks to choose models and aims to remain model-agnostic, avoiding dependence on any one provider or lab harness so it can retain flexibility.

“And so, um, our internal benchmarks kind of guide our model decisions. And, uh, as a principle, we, we want to be, um, model agnostic-”

“... um, and, and sort of not, um, uh, you know, um, take a dependency on, on a, a certain provider or a certain harness from one of these labs, and kind of keep that, that optionality open for us.”