Local LLM vs Hosted API Cost
Local inference trades token bills for hardware, power, and time. Whether it wins depends on volume, hardware, and workload shape — here's the honest framework.
The local cost
Hardware (GPU amortization) + power + time.
Cost per token falls at high steady utilization.
The hosted cost
Per-token rates, zero upfront.
Spiky or varied workloads avoid idle hardware.
The honest framework
High steady volume → local can win.
Spiky, varied, or multi-provider → hosted wins.
Model the TCO for YOUR shape — don't trust averages.
The control
Either way, agents need a spend gate — local inference doesn't govern the tools beyond it.
At a glance
| Workload | Better fit |
|---|---|
| High steady volume | Local |
| Spiky usage | Hosted |
| Multi-provider | Hosted |
| Low volume | Hosted |
FAQ
Is local always cheaper at scale?
Often — but only at high utilization. Model your TCO.
Does the firewall care where inference runs?
No — it governs the spend surface around either stack.
Related
Stop the next $12,400 night.
One API call (or MCP tool) in front of every agent transaction — APPROVED, BLOCKED, or FLAGGED, deterministic, ~5 ms, fully logged.
See plans — from $99/mo Try a live check