Qdrant Pricing (2026)

Usage-based across the board, tied to vector storage, RAM, and cluster size rather than seats — you're paying for how much data you're indexing and querying, not how many people log in. Everything past the free tier hides actual numbers behind sales calls, which is a deliberate move to negotiate based on deployment scale.

5 plans usage-based Free plan Best Qdrant alternatives → Qdrant's competitors →
Free Tier
$0/mo
Standard Tier
Contact Sales
Premium Tier
Contact Sales
Hybrid Cloud
Contact Sales
Private Cloud
Contact Sales
Verified Sep 19, 2026 Official pricing page
Screenshot of Qdrant's pricing page showing its plans and prices
Their pricing page, captured Sep 19, 2026

Stop checking your competitors manually.

Outmano watches your competitors' pricing, features, roadmaps and reviews. Every Monday, you get one brief on what changed.

Try Outmano free »

14-day free trial

Free Tier

$0/mo
  • Single Node Cluster
  • 0.5 vCPU / 1GB RAM/ 4 GB Disk.
  • Free Cloud Inference With Selected Models

Standard Tier

Contact Sales
  • Dedicated Resources
  • Flexible Vertical and Horizontal Scaling
  • Highly Available Setups
  • Backup & Disaster Recovery
  • Free Tokens for Paid Inference Models
  • 99.5% Uptime SLA

Premium Tier

Contact Sales
  • SSO
  • Private VPC Links
  • 99.9% Uptime SLA
  • Extra Support

Hybrid Cloud

Contact Sales
  • Local Data Residency
  • Regulated Workloads
  • Easy Operations in Your Own Cloud
  • Data Stays in Your Network
  • Fully Managed Through Qdrant Cloud
  • Production-Grade Uptime

Private Cloud

Contact Sales
  • Large Enterprises
  • Sensitive Workloads
  • Air-Gapped Setups
  • Custom SLAs
  • Full Isolation

Does Qdrant have a free plan?

Yes: the Free Tier plan is free forever, not a time-limited trial.

What the free plan includes

  • Single Node Cluster
  • 0.5 vCPU / 1GB RAM/ 4 GB Disk.
  • Free Cloud Inference With Selected Models

AI Pricing Analysis

Pricing Model

Usage-based across the board, tied to vector storage, RAM, and cluster size rather than seats — you're paying for how much data you're indexing and querying, not how many people log in. Everything past the free tier hides actual numbers behind sales calls, which is a deliberate move to negotiate based on deployment scale.

Tier Strategy

Free tier is a sandbox for solo devs and prototypes running small collections; Standard is the managed cloud jump for teams that need production reliability without ops overhead; Premium kicks in once you need guaranteed throughput or SLAs and are willing to commit to a minimum spend; Hybrid and Private Cloud exist for orgs with data residency or compliance requirements that can't touch multi-tenant infrastructure. The upgrade trigger is almost always dataset size or latency needs outgrowing what free/shared clusters can handle.

Competitive Positioning

Qdrant sits in the middle-to-premium zone of the vector DB pack — pricier to evaluate than Pinecone's transparent self-serve tiers since everything's quote-based past free, but that opacity signals they're chasing enterprise deals over indie developers. They're clearly trying to win teams already committed to open-source Qdrant who need a managed or hybrid path without switching engines.

Growth Lever

The real lock is infrastructure control — self-hosting on Hybrid/Private Cloud unlocks compliance and data residency that Standard can't touch, and Premium's minimum spend buys you performance guarantees you can't get elsewhere. Expansion comes from data volume growth and the shift from 'testing vector search' to 'running it in production at scale,' not from adding more user seats.'

Want the strategist's read on the live page? Read the AI teardown of Qdrant's pricing page →

Qdrant Pricing FAQ

How much does Qdrant cost?
Pricing is custom — you'll need to talk to their sales team for a quote.
Is there a free plan?
Yes. The "Free Tier" plan is free forever, not just a trial. You get single node cluster, 0.5 vcpu / 1gb ram/ 4 gb disk., free cloud inference with selected models. It's enough to evaluate the product before upgrading.
Can I try it before paying?
There's no trial per se, but the free plan lets you use the product indefinitely with some limits.
How does the pricing work?
Usage-based across the board, tied to vector storage, RAM, and cluster size rather than seats — you're paying for how much data you're indexing and querying, not how many people log in. Everything past the free tier hides actual numbers behind sales calls, which is a deliberate move to negotiate based on deployment scale.
Which plan makes sense for me?
Free tier is a sandbox for solo devs and prototypes running small collections; Standard is the managed cloud jump for teams that need production reliability without ops overhead; Premium kicks in once you need guaranteed throughput or SLAs and are willing to commit to a minimum spend; Hybrid and Private Cloud exist for orgs with data residency or compliance requirements that can't touch multi-tenant infrastructure. The upgrade trigger is almost always dataset size or latency needs outgrowing what free/shared clusters can handle.

More AI pricing

All AI pricing →

Comparing Qdrant to something specific? Try Qdrant vs Anthropic, Qdrant vs AssemblyAI, or Qdrant vs Avoma. Or see the best Qdrant alternatives, ranked.

Set it up once. Get a plan every week.

Add the competitors you care about. Outmano keeps watching them, so you can stop checking their sites.

Try Outmano free »

14-day free trial