Vector Database Cost Calculator
Estimate storage and query cost for a vector database.
With the default inputs, $2.00/month — 8.01 GB for 1,000,000 vectors. 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.
- Vectors
- 1,000,000
- Dimensions
- 1,536
- Storage size
- 8.01 GB
- Storage / month
- $2.00
- Query / month
- $0.0000
- Total / month
- $2.00
Estimate the monthly cost of a vector database from your vector count, dimensions, storage price and query volume — for both self-managed and managed stores.
How this is calculated
Monthly cost = storage (vectors × dimensions × 4 bytes × ~1.4 index overhead, priced per GB) + query cost (queries per month ÷ 1M × price per million queries) when your store charges per query. It covers both self-managed (storage-priced) and managed (storage + query-priced) vector databases.
Is this a good result? What to do next
For self-managed stores, storage is the whole cost and stays small until tens of millions of vectors. For managed stores, per-query pricing can dominate at high query volume — check which lever is bigger for your traffic before optimizing.
Typical planning ranges
- 1,536-dim vector
- ~6 KB indexed
- Index overhead
- ~40%
- Managed stores
- query price can dominate
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
- Reduce dimensions or quantize vectors to cut storage.
- Prune stale vectors.
- Pick a pricing model (storage vs query) that fits your traffic.
Common mistakes
- Ignoring per-query charges on managed stores.
- Forgetting index overhead in storage estimates.
When to use a different approach
For storage only, use the vector database storage calculator. To compare precisions, use the embedding dimension storage calculator.
Worked example (defaults)
With the default inputs above, here is the result:
- Vectors
- 1,000,000
- Dimensions
- 1,536
- Storage size
- 8.01 GB
- Storage / month
- $2.00
- Query / month
- $0.0000
- Total / month
- $2.00
- GB = vectors x dims x 4 bytes x 1.4 index overhead / 1024³
Frequently asked questions
How big is a vector?+
Dimensions × 4 bytes at float32, plus index overhead (~40%). A 1536-dim vector is about 6 KB indexed.
How do I cut storage cost?+
Use fewer dimensions, quantize vectors (float16/int8), or prune stale data. See our dimension storage calculator.