Quick Answer
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Weaviate costs Free to $400 per month as of May 2026. Pricing depends on your chosen tier, contract length, and negotiated discounts.

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

  • Free tier: No free tier available
Last verified:
+-98% above list price
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Weaviate true cost runs -98% above the listed $0-$400/month price as of May 2026. For a 25-person team, expect ~$250 in year-one costs vs the $13,500 base license. Key hidden costs: multi-axis usage scaling, embedding model choice drives infrastructure cost, scaling costs with vector count and dimensions. Verified from 1 sources by CostBench.

Hidden Costs Breakdown

1

Multi-Axis Usage Scaling

medium overage

Weaviate's usage-based billing scales across three variables simultaneously: embedding model dimension count (768 for mpnet-base, 1024 for Cohere, 1536 for OpenAI), data objects stored per month, and queries per month. Choosing a larger embedding model roughly doubles memory footprint and associated costs. Users must understand their entire workload profile to estimate monthly spend accurately — the base Flex price of $45/month is a floor, not a ceiling.

hn

it can get expensive quickly because you're scaling over multiple axes

hn

different algorithms in combination with different embeddings sizes (e.g., mpnet-base's 768 vs Cohere's 1024 vs OpenAI's 1536, etc) have a different memory footprint

2

Embedding Model Choice Drives Infrastructure Cost

medium integration

The embedding model selected directly determines memory footprint, which is the primary cost driver in Weaviate's cloud offering. Teams using OpenAI's 1536-dimension embeddings will incur roughly twice the memory cost of teams using 768-dimension models. This cost is not visible in the base plan price and requires upfront modeling of the specific embedding pipeline in use.

hn

The only three things a user needs to know are: embedding size of the model, data objects stored per month, and queries per month.

hn

memory is crucial because it's the thing that keeps your database persistent (i.e., you get a response in ms any time you query, no cold starts)

3

Scaling Costs with Vector Count and Dimensions

high overage

Weaviate's managed cloud pricing scales with both the number of vectors stored and their dimensionality. Costs escalate rapidly for large datasets — pricing calculator outputs shared by community members show $369/month for 10 million 384-dimensional vectors, rising to $608–$3,000/month for 50 million vectors depending on dimension size. Teams building large-scale RAG or semantic search systems should model costs carefully before committing to the managed cloud.

reddit

Weaviate: $369 for 10 million, source: https://weaviate.io/pricing/serverless

reddit

their pricing slider goes up to 50m and for 600 dimensional vectors it says it will be $3000 a month, ouch! Probably self-hosting might be reasonable depending on what you are trying to achieve.

4

Infrastructure Overhead for Self-Hosting

medium implementation

While Weaviate is fully open-source at no software cost, self-hosting requires high-memory servers to keep vectors in RAM and avoid cold starts. Community deployments storing 9 million embeddings report needing 120GB of RAM, which necessitates renting a specialized high-memory VPS. This infrastructure cost can offset the savings versus managed cloud for smaller teams without existing ops capacity.

reddit

I had better luck indexing all of my objects in Weaviate by self-hosting, rather than using their managed service WCS, and I found that you can rent a server on Contabo with 120gb ram for what I felt was an affordable price relative to other options

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.

Example: True Cost for 25 Users

License (25 × $45 × 12) $13,500/yr
Multi-Axis Usage Scaling +10-50% of base license costs
Embedding Model Choice Drives Infrastructure Cost +10-100% of base license costs
Scaling Costs with Vector Count and Dimensions +$369-$3,000
Infrastructure Overhead for Self-Hosting +$50-$200
Estimated Year 1 Total ~$250
That's roughly 0.0× the advertised license price. The median Weaviate contract is $7,296/yr across 3 Vendr purchases.

Frequently Asked Questions

01 What hidden costs should I budget for with Weaviate?

Beyond the license fee, budget for: Multi-Axis Usage Scaling (10-50% of base license costs); Embedding Model Choice Drives Infrastructure Cost (10-100% of base license costs); Scaling Costs with Vector Count and Dimensions ($369-$3,000); Infrastructure Overhead for Self-Hosting ($50-$200). Total ownership typically runs -98% higher than the listed price.

02 Does Weaviate charge for implementation?

Weaviate implementation is not included in the license cost. While Weaviate is fully open-source at no software cost, self-hosting requires high-memory servers to keep vectors in RAM and avoid cold starts. Community deployments storing 9 million embeddings report needing 120GB of RAM, which necessitates renting a specialized high-memory VPS. Estimated impact: $50-$200.

03 How much does Weaviate support cost?

Premium support pricing for Weaviate depends on your tier and contract terms. See the sourced cost breakdown above for any verified figures we have.

04 Are there overage or storage costs with Weaviate?

Weaviate's usage-based billing scales across three variables simultaneously: embedding model dimension count (768 for mpnet-base, 1024 for Cohere, 1536 for OpenAI), data objects stored per month, and queries per month. Choosing a larger embedding model roughly doubles memory footprint and associated costs. Estimated impact: 10-50% of base license costs.

05 What add-ons cost extra with Weaviate?

Add-on pricing for Weaviate varies by feature. The sourced cost breakdown above lists any verified add-on costs we have.

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