GvsQ
Groq vs Qdrant
Side-by-side comparison of Groq and Qdrant.
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.
Qdrant — High-performance open source vector search. Qdrant is a Rust-based open-source vector database with strong filtering, payload storage, and managed cloud offering with generous free tier.
Feature comparison
| Feature | Groq | Qdrant |
|---|---|---|
| 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 | — | 1GB cluster |
| Serverless | — | Yes |
| Self-hosted | — | Yes |
| Multi-tenant | — | Yes |
| Hybrid Search | — | Yes |
| Max Dimensions | — | 65536 |
| 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
Q
Qdrant
High-performance open source vector search
Pros
- Blazing fast Rust core
- Open source + managed cloud
- Excellent filtering via payload
- Very generous free tier
Cons
- Smaller ecosystem than Pinecone
- Some advanced features cloud-only
- Fewer SDK niceties
Which should you choose?
Choose Groq if a free tier is important for your stage. Choose Qdrant 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 Qdrant?
There is no universal “better.” For most teams, Qdrant is the safer default because Qdrant 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 Qdrant?
Groq starts at Pay per token, while Qdrant starts at $25/mo. Exact costs depend on usage — check both vendors' calculators before committing.
Can I migrate from Groq to Qdrant?
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 Qdrant open source?
Qdrant is open source; Groq is a proprietary managed service.
Does Groq or Qdrant have a free tier?
Both Groq and Qdrant 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 Qdrant. For production workloads, revisit the trade-offs in the feature table above.