# LiteLLM vs MLflow — Fit & Features

Canonical: https://trutool.co/compare/litellm-vs-mlflow
Author: Snehil (https://trutool.co/authors/snehil)

Compare LiteLLM and MLflow by use case, features, limitations, and evaluation questions.

## Compare fit, features, and limitations

### LiteLLM
Access model providers through a shared API and configurable proxy gateway.
Best fit: Machine learning teams building, serving, and operating model workloads.
- Model proxy
- Provider integrations
- Spend tracking
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://www.litellm.ai/pricing
- [Read LiteLLM profile](https://trutool.co/tools/litellm): Read LiteLLM profile

### MLflow
Track experiments and manage the lifecycle of machine learning and generative AI applications.
Best fit: Machine learning teams building, serving, and operating model workloads.
- Experiment tracking
- Model registry
- AI evaluation
Before you choose: Benchmark your workload, verify model licenses and hardware requirements, and compare inference, hosting, and storage costs.
Pricing: https://mlflow.org
- [Read MLflow profile](https://trutool.co/tools/mlflow): Read MLflow profile