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serbyn.io

llm cost teardown

Cut your LLM bill with six levers — without lowering output quality.

A one-week teardown of where your LLM spend actually goes, which of six levers move it, and how much each is worth against your own traffic and quality bar — no guesswork, no quality regressions.

from $2,000~1 week

Fixed-scope audits · Read-only by default · NDA on request · US/UK/EU remote

What you get

Spend map

Your LLM cost broken down by service, model, and route, so the expensive paths stop hiding inside one monthly total.

Per-lever opportunity assessment

Each of the six levers modeled against your actual traffic — what it would save you, not a headline number from someone else’s workload.

Quality-guardrail plan

The evals and checks that keep output quality fixed while cost comes down, so savings don’t quietly cost you accuracy.

Routing & caching recommendations

Concrete model-routing and semantic-caching changes, sequenced by savings-per-effort.

Prioritized savings roadmap

A ranked plan you can hand to your team — highest-impact, lowest-risk levers first.

Readout call

A live walkthrough of the findings and roadmap, plus the written teardown.

The six levers

Public benchmarks put each lever’s savings in a broad range — but the only number that matters is yours, so I model each one against your real traffic and quality bar instead of quoting a headline percentage.

1 · Model routing

Send each call to the cheapest model that clears the quality bar for that step; reserve frontier models for the hard hops.

2 · Semantic caching

Cache on meaning, not exact strings, so near-duplicate requests never hit the model twice.

3 · Prompt compression

Trim system prompts, context, and few-shot bloat that silently inflate every single call.

4 · Batch / async pricing

Move latency-tolerant work onto batch and async tiers that price well below interactive rates.

5 · Provider arbitrage

Price the same capability across providers and route by current cost, not by habit.

6 · Fallback chains

Degrade gracefully to cheaper providers on error or overload instead of paying a premium to retry.

Worked example — my own platform

The same levers, run on my own agent platform. A small bill — but the mechanics are identical, and they scale with spend.

−58%LLM bill: $82 → $34 / monthon my own platform — small bill, same levers scale with spend

Multi-model routing plus caching did most of the work: cheap models for the easy hops, cached results for the repeats, and frontier models only where quality demanded them — with no drop in output quality. On a larger bill, the same moves free up real budget.

Timeline

  1. 01

    Phase 0 — Instrument spend

    Days 1–2

    Read-only access to billing and logs; build the spend map by service, model, and route.

  2. 02

    Phase 1 — Model the levers

    Days 3–4

    Estimate each lever against your real traffic and define the quality guardrails that protect output.

  3. 03

    Phase 2 — Roadmap & readout

    Day 5

    Deliver the prioritized savings roadmap and walk through it live.

Who it’s for

  • Your monthly LLM bill is large enough that a week of engineering pays for itself.
  • You need savings that don’t come at the cost of output quality.
  • You want a concrete roadmap, not a vendor pitch.
  • Your spend is trivial and not worth optimizing yet.
  • You want someone to implement every change for you this week — the teardown is analysis and a roadmap.
  • You’re unwilling to define a quality bar to protect.

FAQ

Will cutting cost hurt quality?
No — that’s the whole point of doing it as engineering rather than blunt downgrades. Every lever is modeled against a quality bar you define, and the guardrail plan keeps output fixed while cost moves.
How much can I actually save?
It depends entirely on your traffic mix, so I won’t quote a made-up percentage. Published ranges for these levers are wide; the teardown replaces them with a number modeled on your own usage. See the own-platform example above for how the levers compound.
What access do you need?
Read-only: your billing/usage export and enough logs or traces to see the cost distribution across models and routes.
What’s the deliverable?
A written teardown — spend map, per-lever assessment, quality-guardrail plan, and a prioritized roadmap — plus a live readout.

Ready to start?

Book a 30-minute systems call and we’ll confirm scope and timing.