Pinecone vs. Weaviate vs. Qdrant: Vector Database Pricing Compared
All three price on the same two axes — storage (per million vectors, scaling with dimension count) and queries (per million reads) — but at different rates. The cheapest option depends on whether your workload is storage-heavy (many vectors, low query volume) or query-heavy (fewer vectors, high query volume).
| Criterion | Pinecone Serverless | Weaviate Cloud | Qdrant Cloud |
|---|---|---|---|
| Storage rate (per 1M vectors, 768-dim) | $8.00 | $6.50 | $5.00 |
| Query rate (per 1M queries) | $0.40 | $0.35 | $0.30 |
| Best for | Teams prioritizing managed simplicity over lowest cost | A middle ground between Pinecone's simplicity and Qdrant's price | Cost-sensitive workloads at any storage-to-query ratio |
Query rate (per 1M queries): Qdrant Cloud has both the lowest storage rate and the lowest query rate of the three.
Frequently Asked Questions
Which is cheapest for a storage-heavy workload?
Qdrant Cloud has the lowest storage rate of the three ($5.00 per million vectors at 768 dimensions), making it the cheapest option for indexes with a large vector count relative to query volume.
Which is cheapest for a query-heavy workload?
Qdrant Cloud again — it has the lowest rate on both axes in this comparison, not just storage. Use the Vector Database Cost Calculator with your actual vector count and query volume to confirm the gap for your specific numbers.
Does a lower price mean lower quality or reliability?
Not inherently — these are pricing comparisons, not quality comparisons. Retrieval accuracy, latency, and operational reliability depend on your specific configuration and workload, and should be evaluated separately from cost.