How much will an AI knowledge base cost to keep fresh?
Before committing to a model, most teams with changing document sets want to estimate the cost of keeping an AI knowledge base fresh. This page does exactly that with an interactive calculator, so instead of guessing you get a concrete monthly cost grounded in today's provider prices.
Start here: Knowledge Base Refresh Cost Calculator
Results update automatically as you type.
- Changed docs / month
- 5,000
- Tokens to re-embed
- 4,000,000 tokens
- Re-embed cost / month
- $0.0800
- Re-embed cost / year
- $0.9600
Then: Re-Embedding Cost Calculator
Results update automatically as you type.
- Tokens
- 50,000,000
- Rate
- $0.13/M
- Passes
- 4
- Total cost
- $26.00
Why this isn't trivial
The part people underestimate: every document change means re-embedding, so your update rate — not just corpus size — drives ongoing cost. In practice the biggest savings come from re-embedding only changed chunks rather than whole documents, so it is worth modelling before you commit.
How it's calculated
We estimate this by multiplying the share of documents that change each month by the per-document embedding cost. Every figure uses the current provider prices baked into the site (reviewed daily), and you can override any input to match your own assumptions.
Frequently asked questions
Do I re-embed everything on each change?+
No — embed only changed chunks to keep refresh cost proportional to real edits.
What sets refresh cost?+
Your monthly change rate times the embedding cost per changed chunk.
Are these prices up to date?+
Yes. The model prices behind this calculator are refreshed and reviewed daily, so your estimate reflects current provider rates rather than a stale snapshot.
Related
Estimates for planning. Pricing data last reviewed 28 July 2026.