AI Calculator Pro
Value

Re-Embedding Cost Calculator

Estimate the cost of periodically re-embedding a corpus.

Quick answer

With the default inputs, $26.00 — 50,000,000 tokens x 4 pass(es) with text-embedding-3-large. Enter your own numbers below to recompute instantly; the full step-by-step math is shown under the worked example.

Results update automatically as you type.

Result
$26.00
50,000,000 tokens x 4 pass(es) with text-embedding-3-large
Tokens
50,000,000
Rate
$0.13/M
Passes
4
Total cost
$26.00

If you change embedding models or refresh content, you re-embed the whole corpus. Estimate the cost of one or many re-embedding passes over your tokens.

How this is calculated

Cost = total tokens ÷ 1,000,000 × embedding price × number of passes. Re-embedding runs the whole corpus through an embedding model again — for a model switch, a chunking change, or a full refresh — so cost is the corpus size times how many times you re-embed.

Is this a good result? What to do next

Re-embedding is a periodic capital cost, not a per-query one. It's usually modest, but a large corpus times many passes (or a pricey model) adds up — and old vectors from a different model aren't comparable to new ones, so a model switch means a full pass.

Typical planning ranges

Cost
corpus tokens × passes × price
Model switch
requires a full re-embed
Cost driver
large corpus × many passes

Ranges are typical planning figures to sanity-check your result, not authoritative benchmarks. Your numbers will vary with use case, volume, and vendor.

How to improve this number

  • Re-embed only when you actually change model or chunking.
  • Use incremental refresh for changed docs instead of full passes.
  • Choose a cheaper embedding model where quality holds.

Common mistakes

  • Re-embedding everything when only some docs changed.
  • Mixing vectors from different models in one index.

When to use a different approach

For only the changed-document cost each month, use the knowledge base refresh calculator. For first-time ingestion, use the embedding cost calculator.

Worked example (defaults)

With the default inputs above, here is the result:

Result
$26.00
50,000,000 tokens x 4 pass(es) with text-embedding-3-large
Tokens
50,000,000
Rate
$0.13/M
Passes
4
Total cost
$26.00
  • cost = 50,000,000 / 1e6 x $0.13 x 4

Sources & references

Frequently asked questions

When do I need to re-embed?+

Whenever you switch embedding models, change chunking, or want fresh vectors for updated content. Old vectors from a different model are not comparable to new ones.

Related calculators

RAG
Embedding Cost Calculator

Estimate the cost to embed a corpus of text.

RAG
RAG Cost Calculator

Estimate ingestion, storage and query costs for a RAG system.

RAG
Vector Database Storage Calculator

Estimate vector storage size and monthly cost.

Answering a real question?

This calculator powers these problem-solving guides: