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CalcIntel

Updated · Methodology: named formula library

Embedding Batch Cost

Estimate cost of embedding a document corpus.

OpenAI text-embedding-3-small: ~$0.0002/doc avg
Total Embedding Cost
$2

10,000 documents × $0/document = $2.

documents10,000
cost per doc$0 / document
Total Embedding Cost$2
Data sources: CalcIntel Formula Library

Embedding Cost

For RAG/search: assume 500 tokens/document. text-embedding-3-small: $0.02/MTok ≈ $0.00001 × 500 = $0.005 per 1k docs. text-embedding-3-large: 6.5× more.

Worked Example

10000 documents at 0.0002/document

usage
10000
rate
0.0002
Result
$2

10000 × 0.0002 = $2.

When to Use This Calculator

  • Budget vector database initial load

Limitations & Common Mistakes

  • Results are estimates based on the inputs you provide.
  • Always verify with current data and consult a professional for major decisions.

Frequently Asked Questions

How is Embedding Batch Cost cost calculated?

Cost = documents × rate per document. The default rate ($0.0002/document) reflects current U.S. average pricing. Replace with your actual contracted rate for an exact number.

What's the average document cost?

The default of $0.0002 per document is the U.S. average as of 2026. Regional variation is significant — urban areas are typically 20–40% higher than rural; coastal states 10–25% higher than the Midwest.

How can I reduce this cost?

For utility bills: efficiency upgrades, off-peak usage, conservation. For SaaS/cloud: rightsize tier, audit for unused services, negotiate annual commitments for 15–25% off list price. For LLM API: prompt caching (90% off cached input), batch API (50% off async jobs), smaller models for simpler tasks.

Does this include taxes and fees?

No. Bills typically include 5–15% in taxes, surcharges, and regulatory fees on top of the metered rate. To get total cost from this estimate, multiply the result by 1.10 as a rough placeholder, or check your actual bill for itemized fees.

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