{
  "name": "Qdrant",
  "slug": "qdrant",
  "pricingModel": "freemium",
  "normalized": {
    "currency": "USD",
    "entry": null,
    "plans": [
      {
        "plan": "Managed Cloud (Free)",
        "perMonth": 0,
        "unit": "unknown",
        "unitNoun": null,
        "billing": "unknown",
        "free": true,
        "contactSales": false
      },
      {
        "plan": "Managed Cloud (Paid)",
        "perMonth": null,
        "unit": "unknown",
        "unitNoun": null,
        "billing": "unknown",
        "free": false,
        "contactSales": true
      },
      {
        "plan": "Hybrid Cloud",
        "perMonth": null,
        "unit": "unknown",
        "unitNoun": null,
        "billing": "unknown",
        "free": false,
        "contactSales": true
      },
      {
        "plan": "Private Cloud",
        "perMonth": null,
        "unit": "unknown",
        "unitNoun": null,
        "billing": "unknown",
        "free": false,
        "contactSales": true
      }
    ],
    "hasFreePlan": true,
    "hasFreeTrial": null,
    "contactSalesOnly": true
  },
  "pricingDetails": {
    "model": "freemium",
    "tiers": [
      {
        "name": "Managed Cloud (Free)",
        "price": 0,
        "features": [
          "1 GB free forever cluster",
          "No credit card required",
          "AWS/GCP/Azure regions",
          "Horizontal and vertical scaling",
          "Monitoring and alerting",
          "High availability",
          "Backup and disaster recovery",
          "Zero-downtime upgrades",
          "Unlimited users"
        ]
      },
      {
        "name": "Managed Cloud (Paid)",
        "price": null,
        "features": [
          "Usage-based pricing",
          "All free features",
          "Standard support and uptime SLAs",
          "Premium support available"
        ]
      },
      {
        "name": "Hybrid Cloud",
        "price": null,
        "features": [
          "All Managed Cloud benefits",
          "Security and data isolation",
          "Optimal latency",
          "Standard or Premium support"
        ]
      },
      {
        "name": "Private Cloud",
        "price": null,
        "features": [
          "All Hybrid benefits",
          "On-premise deployment",
          "Maximum data sovereignty",
          "Air-gapped environments",
          "Premium Support included"
        ]
      }
    ],
    "currency": "USD",
    "selfHosted": "Open-source version available for self-hosting",
    "marketplace": "Available on AWS, GCP, Azure marketplaces",
    "billingPeriod": "monthly"
  },
  "costFacts": null,
  "pricesByRegion": null,
  "verdict": "Qdrant occupies the sweet spot between developer-friendly open source and production-grade managed cloud. The open-source engine is genuinely full-featured, unlike some competitors that gate critical features behind paid tiers, Qdrant's filtering, quantization, and distributed mode are all available self-hosted at zero cost. The free cloud tier at 1 GB RAM is the most generous among vector database providers (Pinecone's free tier limits to fewer dimensions and lower throughput). The managed cloud pricing is usage-based with no per-query charges, which makes costs predictable once you size your cluster, you pay for infrastructure, not API calls. The main trade-off is that Qdrant Cloud does not publish exact per-resource rates on its website, requiring the pricing calculator or sales contact to get precise numbers. For teams already running Kubernetes, self-hosting Qdrant is the highest-value option, the Helm chart is well-maintained and horizontal scaling is straightforward.",
  "bestFor": "Free Cloud: A permanently free single-node cluster with 0.5 vCPU, 1 GB RAM, and 4 GB disk on Qdrant Cloud. Enough to store roughly 500,000 vectors at 768 dimensions and run basic similarity search queries. Includes free cloud inference with selected embedding models, so you can test the full pipeline (embed → store → search) without any external API costs. No credit card required, no time limit. | Standard (Usage-based): Pay-as-you-go pricing billed hourly based on actual vCPU, RAM, and storage consumption. Supports dedicated clusters with flexible scaling on AWS, GCP, or Azure. Includes high availability (multi-node replication), backup and disaster recovery, and a 99.5% uptime SLA. Scale up by adding nodes or resizing, costs increase linearly with resources. | Premium (Custom, minimum spend): Everything in Standard plus SSO (SAML/OIDC), private VPC links for network isolation, enhanced support with dedicated engineers, and a 99.9% uptime SLA (up from 99.5%). Requires a minimum annual spend commitment, contact sales for pricing. Designed for organizations where vector search is a core production dependency and downtime has direct revenue impact. | Self-hosted (Open Source): Qdrant is open source (Apache 2.0). Run it on your own infrastructure, bare metal, cloud VMs, or Kubernetes, at zero licensing cost. The full feature set is available self-hosted, including HNSW indexing, filtering, quantization, and distributed mode. You trade Qdrant Cloud's managed convenience for complete data sovereignty and elimination of vendor pricing. | Hybrid Cloud: Qdrant manages and monitors your clusters, but they run in your cloud account or data center. Combines the operational simplicity of managed cloud with the data residency of self-hosted. Pricing is usage-based like Standard but with an additional management fee. Ideal for regulated industries (healthcare, finance) where vector data cannot leave the corporate network.",
  "hiddenCosts": [
    "Opaque per-unit pricing: Qdrant Cloud does not publish per-vCPU, per-GB-RAM, or per-GB-storage rates on its pricing page. You must use the pricing calculator at cloud.qdrant.io/calculator or contact sales to estimate costs. This makes budget planning harder compared to competitors with transparent rate cards",
    "High availability doubles or triples cost: the free tier is single-node. Production high availability requires 3-node replication, which roughly triples your compute and storage costs.",
    "Backup storage is billed separately: snapshots and backups consume additional storage that is charged on top of your cluster's primary disk allocation. Frequent backups of large collections can add 20-50% to your storage costs",
    "Embedding model costs are separate: Qdrant stores and searches vectors but does not generate them. You need an embedding API (OpenAI, Cohere, or open-source models) to convert text/images to vectors before storing them. At scale, embedding API costs can exceed Qdrant infrastructure costs, budget for both",
    "Egress and data transfer: cloud providers charge for data transfer out of the region. If your application queries Qdrant from a different region or cloud provider, egress fees apply. Co-locate your application and Qdrant cluster in the same region"
  ],
  "recentChanges": [],
  "priceHistory": [],
  "partnerLink": false,
  "provenance": {
    "lastVerifiedAt": "2026-11-02",
    "sourceUrl": "https://qdrant.tech/pricing",
    "confidence": "high"
  },
  "source": "Toolradar",
  "citation": "Toolradar, verified 2026-11-02, https://toolradar.com/tools/qdrant/pricing",
  "affiliateUrl": "https://toolradar.com/api/go/qdrant?ref=mcp&key=json",
  "toolradarUrl": "https://toolradar.com/tools/qdrant/pricing"
}