Token Waste Calculator
Estimate how much you're overpaying on LLM inference. Four sliders give you an instant savings breakdown across 6 token-reduction levers. All calculations run in your browser — zero API calls.
Your current inference usage
Your estimated monthly inference waste
$35
$25/mo →$0/mo — that's 140% savings
Where the savings come from
Use intent routing to send simple queries to cheaper models. Only complex tasks need flagship models.
~50% savings on applicable nodes
Cache repeated system prompts and static context. Provider-native caching reduces repeated token costs by 5x.
~30% savings on applicable nodes
Export classification and validation nodes to regex/code. Zero inference cost for eligible nodes.
~15% savings on applicable nodes
Use Pydantic/Zod output schemas with max_tokens caps. Structured outputs use fewer tokens than free-form text.
~20% savings on applicable nodes
Queue non-urgent requests for batch API processing. ~50% cost reduction on batchable workloads.
~15% savings on applicable nodes
Retrieve minimum viable context instead of dumping entire files into prompts. Compact context saves tokens.
~10% savings on applicable nodes
These estimates are based on typical pipeline patterns. A full Inference Economics Audit maps all 17 levers to your actual pipeline with measured savings.
Learn about Inference Economics →