Cohere vs Qdrant Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Cohere Qdrant
Starts at Custom Custom
Number of plans 3 5
Free plan
Free trial
Pricing model custom usage-based

North

Custom
  • Intuitive interface
  • Purpose-built generative models
  • Intelligent search
  • AI agents for routine tasks and complex workflows

Compass

Custom
  • Pre-built data connectors
  • Intelligent search
  • Document parsing
  • Managed index

Model Vault

Custom
  • Fully managed model deployment
  • No shared resources or multi-tenancy overhead
  • Seamless integration with Cohere North
  • Simple startup and self-serve model access
  • Fixed or Flex pricing plans available

Free Tier

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

Standard Tier

Custom
  • 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

Custom
  • SSO
  • Private VPC Links
  • 99.9% Uptime SLA
  • Extra Support

Hybrid Cloud

Custom
  • 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

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

Cohere vs Qdrant FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Qdrant has a free plan. Cohere doesn't — though they do offer a free trial.
How do they charge?
Different approach here. Cohere uses custom pricing, while Qdrant goes with usage-based. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Cohere: Cohere is squarely targeting enterprise and developer teams that can't or won't send data to OpenAI or Anthropic — data residency, security, and deployment flexibility are the pitch. They're not the cheapest option, but they're positioning as the serious infrastructure play for regulated industries and large orgs that need control. Qdrant: Qdrant is positioning as a serious infrastructure-grade alternative to Pinecone, sitting in the mid-to-premium range for managed vector DBs but with the added credibility of Hybrid and Private Cloud options that pure SaaS competitors can't match. They're clearly going after enterprise teams that want control over where their data lives, not just the fastest path to an API key.

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