Estimate full re-index and recurring embedding spend from document volume and chunk size.
Rounding: Displayed values are rounded for readability; calculations retain full floating-point precision.
Estimate one full indexing run using an entered $0.10 per million token rate.
No. It estimates embedding API usage only. Storage and retrieval costs need separate inputs.
Estimate API costs for initial indexing and scheduled re-indexing using the selected embedding model’s rate. Whether you are researching embedding token cost calculator, vector embedding api cost, document embedding cost, embedding pricing calculator, this interactive tool helps you estimate the token volume and API cost of embedding documents or chunks for a search system.
As you adjust Display Currency, Documents, Chunks per Document, Tokens per Chunk, the calculator immediately computes Primary result, Supporting calculation metrics, Three calculator-specific visualizations and updates all three domain-specific SVG charts in real time. Instead of relying on a single static figure, you can inspect the primary domain diagram, component breakdown, and multi-point trajectory curve to see how changing your inputs shifts the final result. Use the Compare (up to 3 scenarios) button to evaluate side-by-side variations before making a decision.
In our benchmark scenario (10,000 documents, 8 chunks each, 500 tokens per chunk), The initial run contains about 40 million tokens; monthly spend scales with re-index frequency. Keep in mind that document and chunk averages remain stable; all tokens are billed at one rate. For related calculations in Developer Tools, explore RAG Pipeline Cost Calculator, LLM API Monthly Budget Calculator, AI Model Cost Comparison Calculator.
