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TokenMath.io

Vector storage calculator

Vector Database Storage Estimator

Estimate raw vector, metadata, index, replica, and buffered storage requirements plus monthly and yearly storage cost.

Float32 vector sizingMetadata and index overheadUser-entered storage pricing

Vector storage workload

Estimate float32 vector, metadata, index, and replica storage.

bytes
%
$
%
The storage price is user-entered in Phase 2. TokenMath does not assume a vector database vendor or include query, bandwidth, or compute charges.

Vector storage estimate

Float32 vectors · user-entered storage rate

Raw vector storage

5.72 GB

Metadata storage

0.47 GB

Index overhead

1.86 GB

Total estimated storage

18.5 GB

Includes replicas, index overhead, and safety buffer

Estimated monthly storage cost

$4.63

Estimated yearly storage cost

$55.50

Calculation basis

Vector format
float32 · 4 bytes/value
Replicas
2
GB definition
1,073,741,824 bytes
Storage rate
$0.25 / GB-month

Formula

How vector storage is estimated

The calculator models dense float32 vectors at four bytes per dimension, adds metadata and index overhead, then applies replicas and a safety buffer.

Raw bytes = vectors × dimensions × 4

Indexed bytes = (raw vectors + metadata) × (1 + index overhead)

Total GB = indexed bytes × replicas × safety buffer ÷ 1,073,741,824

vector-storage.ts
export function vectorStorage(input: {
  vectors: number;
  dimensions: number;
  metadataBytes: number;
  indexOverheadPercent: number;
  replicas: number;
}) {
  const rawBytes = input.vectors * input.dimensions * 4;
  const metadataBytes = input.vectors * input.metadataBytes;
  const overhead =
    (rawBytes + metadataBytes) *
    (input.indexOverheadPercent / 100);

  return (rawBytes + metadataBytes + overhead) * input.replicas;
}

Example vector storage estimate

One million 1,536-dimensional float32 vectors require roughly 5.72 GiB before metadata, index overhead, replicas, and safety buffer.

Actual vector databases may compress vectors, use quantization, store sparse values, or enforce minimum capacity. Enter your vendor's storage-only rate for a planning estimate.

What this estimate includes

  • Raw float32 vector bytes
  • Metadata storage and index overhead
  • Replica and safety-buffer multipliers
  • User-entered monthly storage rate

Frequently asked questions

How much storage does one vector need?

A dense float32 vector uses four bytes per dimension. A 1,536-dimensional vector therefore uses 6,144 raw bytes before metadata and index overhead.

What should I use for index overhead?

It depends on the index type and database. Start with a documented vendor estimate or a conservative planning percentage, then replace it with observed production storage.

Are replicas additional copies?

Yes. The replicas input represents total stored copies in this calculator. Two replicas doubles indexed storage before the safety buffer.

Does the estimate include vector database compute?

No. Query units, pods, serverless reads and writes, bandwidth, backups, and minimum instance charges are excluded.

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