pgvector vs vLLM
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. pgvector starts at Free and vLLM starts at Free. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Vector column type
- HNSW and IVFFlat indexes
- Multiple distance metrics
- Plain SQL queries
- Wide cloud support
- PagedAttention
- Continuous batching
- OpenAI-compatible server
- Multi-GPU parallelism
- LoRA serving
| Feature | pgvector | vLLM |
|---|---|---|
| Best for | Open-source vector similarity search extension for Postgres | High-throughput open-source engine for serving LLMs in production |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | pgvector contributors | vLLM project |
| Based in | – | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
pgvector starts at Free and vLLM starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
pgvector
- Uses your existing database
- Free and widely supported
- Full SQL power
- Slower than specialized engines at scale
- Index builds use memory
- Tuning needs Postgres skills
vLLM
- Excellent throughput
- Broad hardware support
- Industry-standard serving
- Needs server-class GPUs
- Many tuning flags
- Fast releases change defaults
Which one should you choose?
Choose pgvector if you want:
- Uses your existing database
- Free and widely supported
- Full SQL power
Watch out: slower than specialized engines at scale.
Choose vLLM if you want:
- Excellent throughput
- Broad hardware support
- Industry-standard serving
Watch out: needs server-class gpus.
pgvector vs vLLM FAQ
What is the difference between pgvector and vLLM?
pgvector: Open-source vector similarity search extension for Postgres. vLLM: High-throughput open-source engine for serving LLMs in production. Both are models & apis tools.
Is pgvector or vLLM cheaper?
pgvector starts at Free and vLLM starts at Free. Check both pricing pages for current plans.
Do pgvector and vLLM have free plans?
pgvector: Yes, fully free. vLLM: Yes, fully free.
Who makes pgvector?
pgvector is made by pgvector contributors.
Who makes vLLM?
vLLM is made by vLLM project, based in United States.
Which should I choose, pgvector or vLLM?
Choose pgvector if you value uses your existing database and free and widely supported. Choose vLLM if you value excellent throughput and broad hardware support.