All Qdrant Plans & Pricing

Plan Monthly Annual Best For
View all features by plan (compare side-by-side)

Free

  • Single node cluster
  • 0.5 vCPU, 1 GB RAM, 4 GB disk
  • Free cloud inference with selected models

Standard

  • Dedicated resources
  • Flexible vertical/horizontal scaling
  • High availability
  • Backup and disaster recovery
  • 99.5% uptime SLA
  • 10x5 support

Premium

  • SSO
  • Private VPC links
  • 99.9% uptime SLA
  • 24x7 support
  • Minimum spend required

Hybrid Cloud

  • Data stays on your infrastructure
  • Qdrant-managed operations
  • Ideal for data residency
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Quick Answer
Last verified:
Medium confidence

Qdrant uses custom pricing as of July 2026 with 4 plans available. Contact Qdrant directly for a personalized quote. Plan: Free (free). Enterprise pricing is available on request. The median contract is $2,460/year based on 3 verified purchases.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: Yes

Qdrant offers 4 pricing tiers: Free, Standard, Premium, Hybrid Cloud. The Standard plan is production workloads.

Compared to other vector databases software, Qdrant is positioned at the budget-friendly price point.

  • Median contract: $2,460/yr from 3 purchases Thin data
  • 10 documented hidden costs beyond list price
  • Contracts auto-renew — 90 days
  • G2 rating: 4.5/5 from 12 reviews

How much does Qdrant cost?

Qdrant uses custom pricing across 4 plans. Contact Qdrant directly for a personalized quote. Plans include Free (free), Standard (custom pricing), Premium (custom pricing), Hybrid Cloud (custom pricing).

Qdrant Pricing Overview

Qdrant uses custom pricing — contact their sales team for a quote. The Free plan is free and is best for testing and prototypes. The Standard plan requires contacting sales for a custom quote and is designed for production workloads. The Premium plan requires contacting sales for a custom quote and is designed for enterprise with security and compliance needs. The Hybrid Cloud plan requires contacting sales for a custom quote and is designed for regulated workloads with data residency requirements.

Qdrant contracts auto-renew, requiring 90 days notice to cancel.

The median Qdrant customer pays $2,460/year based on 3 verified purchases.

There are at least 10 documented hidden costs beyond Qdrant's list price, including implementation, training, and add-on fees.

This pricing was last verified in July 8, 2026.

Qdrant pricing starts at $0 with the Free tier, which is available permanently on the managed cloud and suited for development and testing. For production workloads, the Standard, Premium, and Hybrid Cloud plans are custom-priced based on vector count, dimensions, and quantization strategy — use Qdrant's cloud calculator to estimate costs, which range from approximately $205/month for 10 million vectors to $19,000/month at 1 billion vectors. Enterprise and on-premises deployments are available via the Hybrid Cloud plan with custom quotes from the sales team.

How Qdrant Pricing Compares

Compare Qdrant pricing against top alternatives in Vector Databases.

Compare Qdrant vs Alternatives

Before committing to Qdrant, compare pricing with these 3 alternatives in the same category.

All Qdrant alternatives & migration guides

What Companies Actually Pay for Qdrant

The median Qdrant buyer pays $2,460/year based on 3 verified purchase transactions.

What companies actually pay $2,460/yr Median across 3 community cost mentions Thin data
Review scores
G2 4.5/5 (12)
Top pricing complaints
Cloud hosting costs scale steeply with vector count and dimensionsLarge-scale deployments (1B+ vectors) require contacting sales for custom pricingTrade-offs between quantization options (binary vs. scalar) create uncertainty for budget-conscious users
Source: Community cost mentions (Reddit, Hacker News) — aggregated from 3 distinct user reports. Indicative only — not contract-grade data.

Qdrant Year 1 Total Cost by Company Size

Real deployment costs including licenses, implementation, training, and admin — not just the sticker price.

Small Project / Free Tier $0 Year 1 total

Developers testing or running small-scale RAG applications using Qdrant's free cloud tier.

10M Vectors at 384 Dimensions (Standard Cloud) $205 Year 1 total
$2,460/year
Total $205

Mid-scale production deployment with 10 million vectors at 384 dimensions on Qdrant's managed cloud.

40M Vectors with Budget Quantization $34 Year 1 total

Large-scale deployment with 40 million entities using binary quantization to minimize cost.

1 Billion Vectors (Enterprise Scale) ~$19,000/month (contact sales) Year 1 total
contact sales
Total ~$19,000/month (contact sales)

Hyper-scale deployment at 1 billion vectors requiring custom enterprise pricing.

Reddit (r/ArtificialInteligence, r/AI_Agents) — multiple users confirm Qdrant has a free option

How Qdrant Pricing Compares

Software Starting Price Top Price
Qdrant Custom Custom
Chroma Free $250/month
LanceDB Free $1000/month
Milvus Free $197/month
MongoDB Atlas Vector Search Free $56.94/per hour
pgvector Custom Custom

10 Qdrant Hidden Costs Beyond the List Price

Beyond the listed price, Qdrant has at least 10 documented hidden costs that can significantly increase total cost of ownership.

Watch for 10 hidden costs
  • DevOps Tax for Self-Hosting $2,000-$3,500
    high 1 source
    industry "DevOps Tax for Self-Hosting: While the Qdrant open-source software itself is free, self-hosting incurs a "DevOps tax."
  • Data Transfer and Egress Fees $0.09/GB
    medium 1 source
    industry "For example, AWS charges approximately $0.09/GB for internet egress up to 10 TB/month"
  • Heavy Metadata Storage
    medium 1 source
    industry "While quantization can significantly reduce the memory footprint of vectors (up to 32x with Binary Quantization [cite: 4 in previous search]), heavy metadata payloads stored alongside vectors can substantially increase RAM requirements, as quantiz..."
  • Inference Token Overage
    medium 1 source
    industry "Overage costs are displayed in the Cloud Console, but specific dollar rates per million tokens are not publicly published"
  • Professional Services and Consultation
    medium 1 source
    industry "However, public pricing for these professional services is not available"
  • Enterprise Implementation Timeframe
    high 1 source
    industry "Enterprise Implementation Timeframe: For enterprise customers, the typical implementation period for Qdrant can range from 3 to 6 months, covering sales engagement, infrastructure design, deployment, and hardening"
  • Scaling Costs for Large Vector Collections $205-$19,000/month depending on scale
    high 3 sources
    Reddit "Qdrant: $205 a month for 10 million vectors, source: https://cloud.qdrant.io/calculator"
    Reddit "The calculator ranges from 34$ on binary quantization to 546$ on scalar."
    Reddit "Qdrant for 1B is 19k$ (!) which I presume means contact us."
  • Self-Hosting Infrastructure Costs $50-$500/month for self-hosted VPS
    medium 2 sources
    Reddit "Alternatively, I'd say self host an open-source system like Qdrant, Weaviate, SemaDB, Milvus, Chroma etc on your own hardware. You can a relatively strong VPS for $50.."
    Reddit "I even thought about buying a 64GB RAM PC which might be cheaper in the long term and just installing some vector db on it."
  • Embedding Model API Costs 5-15% of license costs
    medium 1 source
    Reddit "As for OpenAI embeddings, there's a cost tied to how much data you process through their API (e.g., $0.0004 per 1K tokens)."
  • Quantization Trade-offs at Scale 10-30% of license costs
    medium 1 source
    Reddit "I've played with the pricing calculator on qdrant but trying to figure out, will Quantization and Offloading hurt the results quality or latency?"
Tip

Ask your Qdrant sales rep about these costs upfront. Getting them in writing before signing can save you from surprise charges later.

Full hidden costs breakdown →

Intelligence sourced from 3 independent sources
industry Reddit User discussions G2 B2B reviews
Key claims include inline source attribution. Data verified against multiple independent sources. 17 source citations total.

Qdrant Contract Terms

Qdrant contracts auto-renew. Changes require 90 days. These terms are sourced from verified buyer experiences.

Contract Terms
Auto-Renewal Yes
Cancellation Notice 90 days

How to Negotiate Qdrant Pricing

Qdrant contracts are negotiable. These 3 tactics are sourced from real buyer experiences and procurement specialists.

Negotiation Playbook 3 tactics
Leverage Open-Source Optionality high success

Qdrant is open source, meaning you can credibly threaten to self-host if cloud pricing becomes unreasonable. One user explicitly chose Qdrant over Pinecone specifically to preserve this negotiating position. Mention your self-hosting capability during pricing discussions to gain leverage.

Reddit (r/ycombinator)
Use the Pricing Calculator Before Negotiating medium success

Qdrant's cloud calculator (cloud.qdrant.io/calculator) lets you model costs across different quantization strategies. Come to negotiations with specific numbers — showing you've modeled binary vs. scalar quantization at your exact scale demonstrates technical sophistication and gives you a concrete anchor for price discussions.

Reddit (r/vectordatabase)
Benchmark Competitors as Negotiating Anchors medium success

Community data shows Qdrant is already positioned as more affordable than some competitors (e.g., Weaviate at $369/month vs. Qdrant at $205/month for 10M vectors). Use competitor pricing as anchors in negotiation to validate that Qdrant's pricing is fair, or to push for a discount if a competitor offers a lower quote.

Reddit (r/vectordatabase)

Full negotiation guide →

Qdrant Pricing FAQ

01 How much does Qdrant cost?

Qdrant offers a free tier with a single-node cluster (0.5 vCPU, 1 GB RAM, 4 GB disk). Paid plans use usage-based pricing billed hourly for compute, memory, and storage. The Standard tier has a 99.5% SLA, while Premium adds SSO, private networking, and 99.9% SLA with a minimum spend requirement.

02 Does Qdrant have a free tier?

Yes, Qdrant's Free tier includes a single-node cluster with 0.5 vCPU, 1 GB RAM, and 4 GB disk. It also includes free cloud inference with selected embedding models. The free tier is available indefinitely for testing and prototypes.

03 Is Qdrant open source?

Yes, Qdrant is open source and can be self-hosted at no licensing cost. The managed cloud service adds hosting, SLAs, backups, and support on top of the open-source engine.

04 Qdrant vs Pinecone: which is cheaper?

Qdrant's managed cloud Free tier is permanently free, and paid tiers use hourly usage-based pricing. Pinecone's Standard plan starts at $50/month. For budget-conscious teams or those comfortable self-hosting, Qdrant is typically more cost-effective than Pinecone.

05 What is Qdrant Hybrid Cloud?

Qdrant Hybrid Cloud lets you run Qdrant on your own infrastructure while Qdrant manages operations remotely. It's designed for regulated workloads with data residency requirements. Pricing is custom and requires contacting Qdrant sales.

06 How much does Qdrant cost for 10 million vectors?

According to Qdrant's cloud pricing calculator, hosting 10 million vectors at 384 dimensions costs approximately $205/month on the managed cloud. Costs vary based on vector dimensions, quantization strategy, and collection size.

07 Can I self-host Qdrant instead of using the cloud?

Yes. Qdrant is open source and can be self-hosted on your own infrastructure. Users report that a capable VPS can be had for around $50/month, which may be more cost-effective at certain scales than the managed cloud. Self-hosting requires managing upgrades and infrastructure yourself.

08 How does Qdrant pricing compare to competitors like Pinecone or Weaviate?

Community benchmarks suggest Qdrant is competitively priced relative to alternatives. For 10 million vectors at 384 dimensions: Qdrant costs approximately $205/month, Weaviate approximately $369/month, and Pinecone approximately $60/day for high write volumes. Qdrant's open-source nature also gives users the option to self-host if cloud costs become prohibitive.

09 Does quantization affect Qdrant's cost and performance?

Yes. Qdrant's pricing calculator shows significant cost variation based on quantization strategy — binary quantization can cost as little as $34/month for 40M entities while scalar quantization for the same dataset can reach $546/month. Binary quantization reduces memory footprint and cost but may impact search result quality. Teams should benchmark both approaches for their specific use case before committing.

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