The LLM cost optimization checklist (2026)
Run through this list against your workload. Most teams tick two or more — and each one you fix is money back every month.
The checklist
Cache repeated prompt prefixes (system prompts, documents, tool definitions).
Move non-urgent work to the Batch API (50% off, stacks with caching).
Route easy tasks to a cheaper model tier, guarded by an eval.
Migrate off deprecated model snapshots to their current-gen replacement.
Set max_tokens and prefer terse/structured output.
Add semantic caching for duplicate and retried queries.
Turn the checklist into numbers
The free analyzer reads your usage export and attaches a monthly euro figure to each item — the provable floor separate from the estimated ceiling — so you know exactly what's worth fixing first.
Turn this into your number
Drop your usage export into the free analyzer and see how much of this applies to your account — provable savings separated from estimates. Nothing is uploaded.
Analyze my usage — free