Gvs
Groq vs Weaviate
Side-by-side comparison of Groq and Weaviate.
Quick summary
Groq — Ultra-fast LLM inference with LPU hardware. Groq runs open-source LLMs (Llama 3.3, Mixtral, Gemma) on custom LPU hardware, delivering 10-20x faster inference than GPU-based providers.
Weaviate — Open source vector database with built-in ML. Weaviate is an open-source vector database with native multi-modal search, built-in vectorizer modules, hybrid search, and cloud or self-hosted deployment.
Feature comparison
| Feature | Groq | Weaviate |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Starting price | Pay per token | $25/mo |
| Free tier | Yes | Yes |
| Open source | No | Yes |
| Vision | Yes | — |
| Streaming | Yes | — |
| Embeddings | No | — |
| Max Output | 8K | — |
| Fine-tuning | No | — |
| Context Window | 128K | — |
| Flagship Model | Llama 3.3 70B | — |
| Reasoning Model | Llama 3.3 70B | — |
| Function Calling | Yes | — |
| EU Data Residency | No | — |
| Type | — | Hybrid |
| Free Tier | — | 14-day sandbox |
| Serverless | — | Yes |
| Self-hosted | — | Yes |
| Multi-tenant | — | Yes |
| Hybrid Search | — | Yes |
| Max Dimensions | — | 65535 |
| Metadata Filtering | — | Yes |
G
Groq
Ultra-fast LLM inference with LPU hardware
Pros
- Insanely fast inference (500+ tokens/sec)
- Cheapest for open-source model inference
- Generous free tier
- Great for real-time UX
Cons
- No proprietary models — OSS only
- Lower peak quality vs GPT-4o/Claude
- Limited availability during demand spikes
Weaviate
Open source vector database with built-in ML
Pros
- Fully open source, self-hostable
- Built-in vectorizer modules
- Native multi-modal (text + image)
- GraphQL API
Cons
- Heavier ops than Pinecone if self-hosting
- Cloud tier pricing more complex
- Community smaller than Pinecone's
Which should you choose?
Choose Groq if a free tier is important for your stage. Choose Weaviate if you value open source and want the option to self-host, and a free tier is important for your stage.
Frequently asked questions
Which is better, Groq or Weaviate?
There is no universal “better.” For most teams, Weaviate is the safer default because Weaviate is open source, which means you can self-host and avoid vendor lock-in. Groq is proprietary. For edge cases, the comparison table above highlights where each tool wins.
Is Groq cheaper than Weaviate?
Groq starts at Pay per token, while Weaviate starts at $25/mo. Exact costs depend on usage — check both vendors' calculators before committing.
Can I migrate from Groq to Weaviate?
Migration difficulty depends on how deeply Groq-specific features (APIs, SDK conventions, data schemas) are baked into your app. Most ai & llm apis migrations take days to weeks. Both vendors typically publish migration guides — check their docs.
Is Groq or Weaviate open source?
Weaviate is open source; Groq is a proprietary managed service.
Does Groq or Weaviate have a free tier?
Both Groq and Weaviate offer a free tier.
Which is best for startups and indie hackers?
Startups usually optimize for the lowest friction to ship and the cheapest possible free tier. The one with the most generous free tier here is Groq. For production workloads, revisit the trade-offs in the feature table above.