Capability–cost frontier
The Pareto frontier of model or agent quality against dollar-and-latency cost, used to pick the cheapest configuration that still clears a task's quality bar rather than defaulting to the most capable one.
grounded in: Trend theme 'Agent token-efficiency scrutiny: developers now benchmarking coding agents on overhead and cost, not just capability' plus the notable 'GPT-5.6 agent migration got 2.2x faster and 27% che
Connected concepts
Tiered LLM router, Model cascade, Model migration, Inference economics, Cost-aware agent eval
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