Qdrant
Indicative from-price range
Indicative from-price range for self-hosting Qdrant on 1 server: about $24 to $112 per month (USD), as of 2026-10-19, for the reference workload (Stored vectors (millions): 5; Embedding dimensions: 768; Peak concurrent queries: 20; Daily new vectors (millions): 0.5). From-price by provider, each the cheapest server in that provider's own shortlist: $24 on DigitalOcean (basic-2vcpu-4gb, 2 vCPU, 4 GB RAM, fra1); $64 on OVHcloud (rise-1, 6 vCPU, 32 GB RAM, eu-west); $66 on Hetzner (AX41, 6 vCPU, 64 GB RAM, eu-central); $138 on Amazon Web Services (i7i.large, 2 vCPU, 16 GB RAM, us-east-1); $176 on Google Cloud (c4a-standard-4-lssd, 4 vCPU, 16 GB RAM, us-central1); $426 on Servers.com (el-01, 16 vCPU, 192 GB RAM, eu-west); $508 on Microsoft Azure (L8s_v4, 8 vCPU, 64 GB RAM, eastus).
Reference workload
- Stored vectors (millions): 5
- Embedding dimensions: 768
- Peak concurrent queries: 20
- Daily new vectors (millions): 0.5
Methodology
This range is generated automatically from public provider price lists. It has not been reviewed by a person, it is not a quote, and it may differ from the total the calculator chooses for your own workload with its AI step. Method: the calculator's offer shortlist for the reference workload (the same ranking it builds before the AI step, up to 12 offers across providers; 12 here) is priced at its monthly list price in USD. The low end is the cheapest of the per-provider from-prices below and the high end is the median server of the combined shortlist, each multiplied by 1, the smallest baseline topology (single-node-vector-store). The from-price for each provider applies the same method to that provider's own shortlist (the calculator's ranking restricted to that provider), so it is the cheapest server that ranking offers there, not a recommendation. Prices are taken from the price snapshot dated 2026-10-19; prices quoted in EUR are converted with the ECB reference rate dated 2026-10-19. Servers with fewer than 2 vCPU or less than 4 GB RAM are not priced. Only server rental list prices for the product's own servers are counted: dependencies, licences, support, traffic charges, taxes and setup fees are not included.
Price sources
- Amazon Web Services: https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.json
- DigitalOcean: https://www.digitalocean.com/pricing/droplets
- Google Cloud: https://cloudbilling.googleapis.com/v1/services/6F81-5844-456A/skus
- Hetzner: https://www.hetzner.com/_resources/app/data/app/live_data_en_EUR.json
- Microsoft Azure: https://prices.azure.com/api/retail/prices
- OVHcloud: https://eu.api.ovh.com/1.0/order/catalog/public/eco?ovhSubsidiary=FR
- Servers.com: https://www.servers.com/products/scalable-bare-metal
Size Qdrant for your own workloadMarkdown versionFor AI agents (llms.txt)
Qdrant is an open-source vector database that stores embeddings with payload filters and serves approximate nearest-neighbour search over them.
Baseline topologies
| Topology | Minimum nodes | Roles |
|---|---|---|
| single-node-vector-store | 1 | qdrant |
| replicated-query-serving | 2 | qdrant |
| shard-aware-cluster | 3 | qdrant |
What drives the cost
- Stored vectors (millions)
- Approximate stored vectors before replica or shard overhead.
- Embedding dimensions
- Dimension count of the embeddings stored in the primary collections.
- Peak concurrent queries
- Peak simultaneous similarity or filtered retrieval requests.
Where it runs
bare_metal, dedicated, cloud_vm
Size Qdrant and get a cost estimate