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engineering · 1 min read

Cost-Aware Model Routing: Cheap Where Possible, Smart Where Needed

Most LLM calls do not need the flagship model. Cost-aware routing sends easy queries to small models and hard queries to large ones - automatically.

BABhogar AI TeamProduct & Engineering

The flagship model is overkill for most queries. Cost-aware routing sends easy queries to a small fast model, escalates ambiguous ones to mid-tier, and reserves the flagship for genuinely-hard inputs.

Why it matters

The hard part is the classifier - getting routing wrong kills quality. Production routers use a tiny scorer plus per-tenant policy and quality monitoring to keep the cascade calibrated.

How Bhogar AI approaches it

Bhogar AI gateway ships a cost-aware routing strategy with per-tenant policy, quality monitoring and an explicit override per request. Routing decisions appear in the trace so debugging is straightforward.

  • Tiny classifier picks tier per request
  • Per-tenant policy and overrides
  • Quality monitoring per tier
  • Trace-visible routing decisions
  • A/B harness comparing routing strategies

What you get

Customers running cost-aware routing typically save 35-60% versus always-flagship with no measurable quality regression on user-facing tasks.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.