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Groq vs Weaviate

Groq logo

Groq

Software

Fast inference provider using proprietary LPU hardware for low-latency serving

From
On request
Rated
-
Full reviewWebsite
Weaviate logo

Weaviate

Software

Open-source vector database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Weaviate has a free tier, so it costs nothing to try first.
  • Each has a real cost: Groq pricing is not published and is sold entirely by quote, making cost comparison difficult; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection

Where they differ

Only the attributes on which Groq and Weaviate actually diverge.

Attributes where Groq and Weaviate differ
AttributeGroqWeaviate
Starting priceOn requestFree
Pricing modelquotefreemium
Free tierNoYes
PlatformsAPI, CloudLinux, Mac, Windows, Web
FoundedUnknown2019

Identical on both: user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Groq

Nothing recorded that Weaviate does not also cover.

Only in Weaviate

  • Vector and keyword search
  • Built-in vectorizers
  • GraphQL API
  • Multi-tenancy
  • Hybrid search
  • OpenAI
  • Hugging Face
  • Cohere

What people use each for

The jobs each tool is most often brought in to do.

Groq

  • Latency-sensitive applications requiring sub-second inference response timesnot Weaviate
  • High-volume inference workloads where cost per inference matters at scalenot Weaviate
  • Custom model deployment with performance guaranteesnot Weaviate
  • Enterprise applications seeking inference-specific infrastructurenot Weaviate

Weaviate

  • Running a vector database for semantic and hybrid searchnot Groq
  • Generating and storing embeddings alongside the objects they describenot Groq

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Groq

  • Pricing is not published and is sold entirely by quote, making cost comparison difficult
  • Limited to open-weight models; no proprietary model access through the platform
  • Not widely integrated into third-party AI platforms compared to OpenAI or Anthropic

Weaviate

  • The free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
  • Premium is a prepaid contract starting at $400 a month rather than pay as you go
  • Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
  • The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond

Pricing, plan by plan

Groq

On request

No published plan breakdown. See the Groq review.

Weaviate

Free
  • Open SourceFree
    • Full features
    • Self-hosted
  • ServerlessFree
    • Managed service
    • Auto-scaling

Which should you pick?

Choose Groq if

  • You work on API, Cloud.
Groq review

Choose Weaviate if

  • You need vector and keyword search.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want built-in vectorizers.
Weaviate review

Questions people ask

Is Groq or Weaviate better?
Neither clearly leads. Groq starts at On request and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Groq or Weaviate?
Weaviate has a free tier; the other does not. Paid plans start at On request for Groq and Free for Weaviate.
Does Groq or Weaviate run on more platforms?
Groq runs on API, Cloud. Weaviate runs on Linux, Mac, Windows, Web.
Can I use Weaviate for free?
Yes. Weaviate has a free tier, so you can try it without paying. Groq starts at On request.
What is Groq best used for?
Groq is most often used for latency-sensitive applications requiring sub-second inference response times, high-volume inference workloads where cost per inference matters at scale, custom model deployment with performance guarantees, enterprise applications seeking inference-specific infrastructure. Of those, latency-sensitive applications requiring sub-second inference response times and high-volume inference workloads where cost per inference matters at scale are not what Weaviate is typically brought in for.
What can Groq do that Weaviate cannot?
Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.
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