Whether you call a frontier model through an API or serve an open model on your own GPUs, the model is only one setting. The choices around it change what the system gets right, how fast it answers and what it costs. RadianVector tests these choices on your workloads to find the configuration that best meets your quality, response-time and cost requirements.
Most systems run with a few knobs set deliberately and the rest left at their defaults. Each one can move quality, latency or cost, and they interact. Measuring them on your own workload is how you find out which ones matter for you.
Reach out and send us a note. We’ll take it forward from there.