LiteLLM vs MLflow
On the evidence we track, MLflow leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for llm gateways. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
LiteLLM
An open-source AI gateway that abstracts access to over 140 language model providers behind a single OpenAI-compatible API, enabling teams to implement spend tracking, request routing, and governance controls without changing application code.
MLflow
LeaderA comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
LiteLLM
Free open-source self-hosted tier; Enterprise priced to scale
- Open SourceFree
- 100+ LLM providers, one OpenAI API
- Virtual keys, users & teams
- Spend tracking
- Budgets + rate limits
- LLM fallbacks
- +3 more
- EnterpriseContact sales
- Everything in Open Source, plus:
- SSO + SCIM
- OIDC / JWT auth
- Audit logs
- Secret managers + key rotation
- +5 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- OpenAI
- Anthropic
- Gemini
- Google Cloud Storage
- Amazon S3
- Google Gemini
LiteLLM
- Azure
- AWS Bedrock
- Cloudflare
- Google VertexAI
- Meta Llama
- Mistral AI
- NLP Cloud
- OVHCloud
- vLLM
- Nvidia NIM
- Slack
- Discord
- Microsoft Teams
- PagerDuty
- Prometheus
- AWS Secrets Manager
- Google Cloud Secret Manager
- MCP servers
- Bedrock
- VertexAI
- Langfuse
- Langsmith
- Datadog
- +6 more
MLflow
Leader- Databricks
- AWS S3
- Azure Storage
- AzureML
- Kubernetes
- LangChain
- Pydantic AI
- Anthropic Claude
- SAP AI Core
- JFrog
- Aliyun
- PostgreSQL
- MySQL
- MSSQL
- Claude Code
- OpenAI Codex
- Ollama
- OpenClaw
- Qwen Code
- LiteLLM
- OpenTelemetry/OTLP
- OpenAI-compatible endpoints
- OpenTelemetry
- Azure ML
- +2 more
LiteLLM or MLflow: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.