# Sentence Transformers vs vLLM — Fit & Features

Canonical: https://trutool.co/compare/sentence-transformers-vs-vllm
Author: Snehil (https://trutool.co/authors/snehil)

Compare Sentence Transformers and vLLM by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### Sentence Transformers
Create embeddings for semantic search, similarity, and retrieval tasks.
Best fit: Machine learning teams building, serving, and operating model workloads.
- Text embeddings
- Semantic similarity
- Model training
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://sbert.net
- [Read Sentence Transformers profile](https://trutool.co/tools/sentence-transformers): Read Sentence Transformers profile

### vLLM
Serve language models with an open-source inference engine.
Best fit: Machine learning teams building, serving, and operating model workloads.
- LLM serving
- Batching
- API server
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://docs.vllm.ai/en/latest/
- [Read vLLM profile](https://trutool.co/tools/vllm): Read vLLM profile