Pinecone vs Qdrant Cost Comparator

Side-by-side monthly cost model for a Pinecone quote vs a Qdrant quote — self-hosted or cloud — from your own numbers.

At a glance

Pinecone vs Qdrant Cost Comparator is a free, client-side decision tool that compares a Pinecone path and a Qdrant path using your own quoted prices. Enter your workload and price inputs to get storage sizing, monthly totals, savings and the query-volume break-even. It asserts no vendor prices.

100% Private Cost Math

All prices are your own inputs. Nothing is uploaded — the comparison runs locally in your browser.

100% Client-Side

Your vector workload (applies to both paths)

Provisioned storage = vectors × dimensions × 4 bytes × replication factor × overhead factor (decimal GB).

Paste the rates from your own quotes below. The pre-filled numbers are editable examples — not vendor quotes. The figures use only your inputs.

Pinecone path — your quote
Qdrant path — your quote (self-hosted or cloud)

Worked example loaded. Review the static table below, or press “Compare paths”.

Pinecone path total $195.34 Base $70.00 + storage $25.34 + queries $100.00 + ops $0.00
Qdrant path total $246.00 Base $96.00 + storage $0.00 + queries $0.00 + ops $150.00
Verdict Pinecone path wins Cheaper by $50.66/mo · Switch at 75.33M queries/mo · 76.80 GB provisioned

Worked example — 5.0M vectors · 1536 dims · 50M queries/mo

Meter Pinecone path ($70 base, $0.33/GB-mo, $2.00/M queries) Qdrant path ($96 base, $0.10/GB-mo incl. 500 GB, $150 ops)
Provisioned storage (76.80 GB = 5,000,000 × 1536 × 4 B × 2 × 1.25)76.80 GB76.80 GB
Storage overage$25.34$0.00 (within 500 GB)
Query overage$100.00$0.00
Ops estimate$0.00$150.00
Monthly total$195.34 — cheaper by $50.66$246.00

Formula per path: total = base + max(0, provisioned GB − included GB) × $/GB-month + max(0, queries − included M) × $/M + ops estimate. Switch point: the metered path is cheaper below 75.33M queries/month; the fixed-cost path is cheaper above it, holding all other inputs fixed.

Quick FAQ

Which is cheaper for my workload?

The cheaper path is the one with the lower computed monthly total for the prices you enter: base + storage overage + query overage + your ops estimate. The tool ranks on your numbers only.

How is provisioned storage calculated?

Provisioned GB = vectors × dimensions × 4 bytes × replication factor × overhead factor. Example: 5,000,000 vectors at 1536 dimensions is 30.72 GB of raw float32 data, which becomes 76.8 GB at replication 2 and overhead 1.25.

Are Pinecone or Qdrant prices built in?

No. Every rate is your own input in USD. Paste current quotes for both paths for an accurate comparison; the pre-filled numbers are editable examples.

Why Use This Pinecone vs Qdrant Cost Comparator?

Side-by-side monthly totals for a Pinecone quote and a Qdrant quote from your own rate cards
Deterministic storage sizing: vectors x dimensions x 4 bytes x replication x overhead, shown as provisioned GB
Query-volume break-even: the exact millions of queries per month where the cheaper path switches

How to Use Pinecone vs Qdrant Cost Comparator

1

Enter your workload

Type vector count, dimensions, replication factor, overhead factor and monthly queries (millions) — the same workload applies to both paths.

2

Enter both price cards

For the Pinecone path and the Qdrant path, paste base price, storage rate and included GB, query rate and included millions, and your monthly ops estimate in USD.

3

Read the verdict and break-even

Read the computed totals, savings delta, winner badge and the query-volume switch point; copy the summary or a share link.

Managed quote vs self-hosted estimate at 50M queries/month

The engine sizes provisioned storage (vectors x dimensions x 4 bytes x replication x overhead), applies each card's base + storage overage + query overage + ops estimate, and solves the linear break-even where the two totals cross as monthly queries vary.

Workload + two price cards (example numbers, user inputs) Source
Workload: 5,000,000 vectors x 1536 dims, replication 2, overhead 1.25 -> 76.8 GB provisioned; 50M queries/mo. Pinecone path: $70 base, $0.33/GB-mo, $2.00/M queries. Qdrant path: $96 base, $0.10/GB-mo incl. 500 GB, $0.00/M queries, $150/mo ops.
Computed totals Processed
Pinecone path $195.34/mo (storage $25.34 + queries $100.00); Qdrant path $246.00/mo; switch point at 75.33M queries/mo — below it the metered path is cheaper, above it the fixed-cost path is cheaper.

Technical Specifications & Engine Details

Technical specifications and engine details for Pinecone vs Qdrant Cost Comparator
Specification Details
Comparison model Monthly total = base + max(0, provisioned GB - included GB) x $/GB-month + max(0, queries - included) x $/million + ops estimate
Storage sizing Provisioned GB = vectors x dimensions x 4 bytes x replication factor x overhead factor
Break-even axis Monthly queries (millions) - the volume where the two totals cross
Prices asserted by this tool None. Every rate is a user input; paste your own current quotes.
Execution mode 100% client-side in browser (no uploads, no network calls)
Browser requirements Modern browser with JavaScript and HTML5 APIs enabled
Maintained by Pragyan Pahadi

100% Client-Side Privacy Guarantee

Inputs stay on your device. Zero data is transmitted to external servers.

Frequently Asked Questions

Which is cheaper for my workload — Pinecone or Qdrant?
The cheaper path is the one with the lower computed monthly total for the prices you enter: base + storage overage + query overage + your ops estimate. Enter both quotes to see the totals, the dollar delta and a winner badge — the tool ranks on your numbers only.
How is provisioned vector storage calculated?
Provisioned GB = vectors x dimensions x 4 bytes x replication factor x overhead factor. For example, 5,000,000 vectors at 1536 dimensions is 30.72 GB of raw float32 data, which becomes 76.8 GB at replication 2 and overhead 1.25.
At what query volume does the cheaper path switch?
The break-even is the monthly query volume where the two totals cross, holding all other inputs fixed. Below it the path with metered query pricing is cheaper; above it the path with fixed infrastructure cost wins. Enter both quotes and the tool shows the exact millions of queries.
Does this tool include Pinecone or Qdrant prices?
No. The tool asserts no Pinecone or Qdrant prices — every rate is your own input in USD. Paste current quotes or list prices for both paths for an accurate comparison; the pre-filled numbers are editable example rates, never vendor quotes.
Is my data sent anywhere?
No. The comparison runs 100% client-side in your browser's memory. Inputs stay on your device; nothing is uploaded, and the share link encodes only your workload numbers and base prices in the URL hash.

Methodology

Total = base + provisioned GB overage + query overage + an operations estimate. All prices are user inputs.

Last updated .