Use cases

Use subscriptions for humans and open-model APIs for routine loops; reserve frontier models for planning, architecture, reviews, and complex bugs.

Batch non-urgent work, validate cache rates, and compare open-model APIs before committing to dedicated GPUs.

Use cheap collection and extraction lanes, then spend frontier tokens only on synthesis, review, and difficult reasoning.

Process large document volumes with open-model extraction, batch routes, cache discipline, and a small frontier evaluator sample.

Price routine support drafts separately from policy-sensitive escalations, human review, and frontier-model evaluation.

Benchmark open models locally before renting GPUs, then promote only models that pass quality, latency, and utilization tests.

Compare GPU rental, storage, egress, utilization, interruption risk, and operations overhead before self-hosting a workload.