Comparison

LiteLLM vs MLflow

No clear leader: LiteLLM (81.0) and MLflow (76.2) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

LiteLLM full profile →MLflow full profile →

Machine formatsJSON Markdown GraphQLor send Accept: application/json

LiteLLM81

MLflow76

Attribute comparison across 2 tools
Attribute	LiteLLM	MLflow
Vioscale score	81 / 100low · 36%	76 / 100medium · 63%
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	freemium	commercial
Price levelpricing.price_level	low	free
Transparentpricing.transparent	✓	✓
Integrations
Countintegrations.count	140	15
Security
Scorecardsecurity.scorecard	-	5.5
Vulnerabilitiessecurity.vulnerabilities	-	Count: 80 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100 · Last 12m: 27 · Max severity: CRITICAL
Adoption
Dependent reposadoption.dependent_repos	-	5,089
Github starsadoption.github_stars	-	27,687
Package downloads weeklyadoption.package_downloads_weekly	-	9,993,245
Activity
Commits last 30dactivity.commits_last_30d	-	100
Release
Cadence daysrelease.cadence_days	-	10
Historyrelease.history	-	20 items
License
Spdxlicense.spdx	-	Apache-2.0
Language
Primarylanguage.primary	-	Python
Market
Availabilitymarket.availability	Available worldwide	-

Score

Vioscale score

LiteLLM81 / 100low · 36%

MLflow76 / 100medium · 63%

Pricing

Free tier

LiteLLM✓

MLflow✓

Model

LiteLLMfreemium

MLflowcommercial

Price level

LiteLLMlow

MLflowfree

Transparent

LiteLLM✓

MLflow✓

Integrations

Count

LiteLLM140

MLflow15

Security

Scorecard

LiteLLM–

MLflow5.5

Vulnerabilities

LiteLLM–

MLflowCount: 80 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100 · Last 12m: 27 · Max severity: CRITICAL

Adoption

Dependent repos

LiteLLM–

MLflow5,089

Github stars

LiteLLM–

MLflow27,687

Package downloads weekly

LiteLLM–

MLflow9,993,245

Activity

Commits last 30d

LiteLLM–

MLflow100

Release

Cadence days

LiteLLM–

MLflow10

History

LiteLLM–

MLflow20 items

License

Spdx

LiteLLM–

MLflowApache-2.0

Language

Primary

LiteLLM–

MLflowPython

Market

Availability

LiteLLMAvailable worldwide

MLflow–

Capabilities

Feature-by-feature on the axes that matter for llm gateways. “-” means undocumented, not absent.

Capability comparison for Llm Gateways
Capability	LiteLLM	MLflow
Capabilities
Openai compatible API	✓	✓
Automatic failover	✓	-
Routing strategy	Cost based	-
Caching	-	-
Virtual key management	✓	-
Budget spend controls	✓	✓
Rate limiting	✓	✓
Guardrails moderation	Built in	Built in
Request cost observability	✓	✓
Streaming support	-	✓
Deployment model	Self hosted	Self hosted
Open source	✓	✓
Pricing model	Open source self host	free_open_source

Capabilities

Openai compatible API

LiteLLM✓

MLflow✓

Automatic failover

LiteLLM✓

MLflow-

Routing strategy

LiteLLMCost based

MLflow-

Caching

LiteLLM-

MLflow-

Virtual key management

LiteLLM✓

MLflow-

Budget spend controls

LiteLLM✓

MLflow✓

Rate limiting

LiteLLM✓

MLflow✓

Guardrails moderation

LiteLLMBuilt in

MLflowBuilt in

Request cost observability

LiteLLM✓

MLflow✓

Streaming support

LiteLLM-

MLflow✓

Deployment model

LiteLLMSelf hosted

MLflowSelf hosted

Open source

LiteLLM✓

MLflow✓

Pricing model

LiteLLMOpen source self host

MLflowfree_open_source

What each one is

The product in its own terms, so the numbers below have context.

LiteLLM

An open-source AI gateway that provides a centralized control point for managing multiple large language models from different providers. It offers virtual key management, spend tracking, budget controls, and intelligent request routing without charging per token.

Independently observed

MLflow

A comprehensive, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

LiteLLM

HybridFree tier30-day trial

Free open-source tier. Enterprise pricing based on annual request volume, not per-token.

Open SourceFree
- 100+ LLM providers
- Virtual keys, users & teams
- Spend tracking
- Prometheus metrics
- Logging and alerting
- +3 more
EnterpriseContact sales
- Everything in Open Source, plus:
- SSO + SCIM provisioning
- OIDC / JWT authentication
- Audit logs on every request
- Secret manager integration
- +7 more

as of 2026-08-19verify ↗

MLflow

Open sourceFree tier

as of 2026-08-14verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platform and deployment support comparison
Supports	LiteLLM	MLflow
WebPlatforms	✓	✓
CLIPlatforms	✓	✓
Cloud / SaaSDeployment	✓	✗
Self-hostedDeployment	✓	✓
On-premiseDeployment	✓	✓
HybridDeployment	✓	✗
Air-gappedDeployment	✓	✗

Platforms

Web

LiteLLM✓

MLflow✓

CLI

LiteLLM✓

MLflow✓

Deployment

Cloud / SaaS

LiteLLM✓

MLflow✗

Self-hosted

LiteLLM✓

MLflow✓

On-premise

LiteLLM✓

MLflow✓

Hybrid

LiteLLM✓

MLflow✗

Air-gapped

LiteLLM✓

MLflow✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (4)

OpenAI
Anthropic
Gemini
Google Cloud Storage

LiteLLM

32 total - 28 not shared

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
Email
+4 more

Independently observed

MLflow

28 total - 24 not shared

Databricks
AWS S3
Azure Storage
AzureML
Kubernetes
LangChain
Pydantic AI
Anthropic Claude
Google Gemini
SAP AI Core
JFrog
Aliyun
PostgreSQL
MySQL
MSSQL
Claude Code
OpenAI Codex
Ollama
OpenClaw
Qwen Code
LiteLLM
Amazon S3
OpenTelemetry/OTLP
OpenAI-compatible endpoints

Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.