Weaviate Pricing (2026)

Pure usage-based billing tied to vector dimensions, storage, and backup — meaning your bill scales directly with how much data you're indexing and how you're indexing it. The wrinkle is that costs vary by index type, compression method, and region, so two teams with the same data volume can end up paying very differently.

From $45/mo 3 plans usage-based Free plan
Free
$0/mo
Flex Popular
$45/mo
Premium
$400/mo
Verified Jul 25, 2026 Official pricing page
Screenshot of Weaviate's pricing page showing its plans and prices
Their pricing page, captured Jul 25, 2026

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Free

$0/mo
  • Always free — 1 cluster per user, upgrade to paid anytime.
  • 100,000 objects · 1 GB memory · 10 GB disk.
  • 1 collection, up to 3 tenants.
  • Embeddings (2,000 req/day) + Query Agent (1,000 req/mo).
  • Basic Support

Flex

Popular
$45/mo
  • Pay-as-you-go, monthly, no commitment.
  • Shared cloud cluster with full core DB toolkit + replication.
  • Baseline security with RBAC.
  • Highly available clusters — 99.5% uptime.
  • Query Agent free tier + usage-based; Embeddings usage-based.
  • Standard support — next-business-day Sev 1

Premium

$400/mo
  • Prepaid contract with predictable spend.
  • Choice of shared or dedicated deployment.
  • Trusted reliability — up to 99.95% uptime.
  • Global coverage on AWS, GCP & Azure.
  • Query Agent free tier + usage-based; Embeddings usage-based.
  • Enterprise support — as fast as 1-hour Sev 1 + dedicated Technical Account Team

AI Pricing Analysis

Pricing Model

Pure usage-based billing tied to vector dimensions, storage, and backup — meaning your bill scales directly with how much data you're indexing and how you're indexing it. The wrinkle is that costs vary by index type, compression method, and region, so two teams with the same data volume can end up paying very differently.

Tier Strategy

Free is clearly for experimentation and prototyping, while Flex at $45 catches early-stage teams running real workloads who aren't ready to commit. The jump to Premium at $400 is the signal that you need dedicated infrastructure or SLA guarantees — that's the trigger, not a feature gate.

Competitive Positioning

Sitting in the mid-to-premium range for vector databases, they're not trying to be the cheapest option — Pinecone and Qdrant Cloud are in the same conversation. The usage-based model lets them look affordable at entry while capturing serious revenue from high-volume AI workloads where dimension counts explode.

Growth Lever

Expansion is almost entirely consumption-driven — as teams embed more data, add more collections, or move to higher-dimensional models, costs compound fast. The free data transfer promotion is a smart hook that masks true cost until teams are already locked into the platform.

Weaviate Pricing FAQ

How much does Weaviate cost?
Paid plans start at $45/mo, going up to $400/mo for larger teams. You can get started on the free plan before committing.
Is there a free plan?
Yes. The "Free" plan is free forever, not just a trial. You get always free — 1 cluster per user, upgrade to paid anytime., 100,000 objects · 1 gb memory · 10 gb disk., 1 collection, up to 3 tenants. — plus 2 more features. 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?
Pure usage-based billing tied to vector dimensions, storage, and backup — meaning your bill scales directly with how much data you're indexing and how you're indexing it. The wrinkle is that costs vary by index type, compression method, and region, so two teams with the same data volume can end up paying very differently.
Which plan makes sense for me?
Free is clearly for experimentation and prototyping, while Flex at $45 catches early-stage teams running real workloads who aren't ready to commit. The jump to Premium at $400 is the signal that you need dedicated infrastructure or SLA guarantees — that's the trigger, not a feature gate.

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Comparing Weaviate to something specific? Try Weaviate vs Anthropic, Weaviate vs AssemblyAI, or Weaviate vs Avoma.

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