LiteLLM
by LiteLLM · Open-source AI gateway for routing, spend control and governance
BenchRank score
Screenshots of LiteLLM
Homepage
Overview
LiteLLM is an open-source AI gateway that puts LLM providers, agents and MCP servers behind one OpenAI-compatible API and login. It tracks spend per key, user, team and org, applies budgets and rate limits that stop requests at the cap, and routes across providers. You self-host it via Docker, Helm or Terraform on your own Postgres and Redis.
- Best for
- Platform teams self-hosting one gateway for LLM access, spend caps and routing across providers.
- Pricing
- The self-hosted open-source gateway is free with no licence fee; Enterprise is an annual contract sized to request capacity, with no figures published.
- Runs on
- Self-hosted
Strengths and trade-offs
Strengths
- One OpenAI-compatible API to 140+ providers and 1,800+ models
- Hard budgets per key, team and org; requests stop at the cap
- MIT-licensed core, self-hostable including air-gapped
- Docker, Helm and Terraform deploys onto your own Postgres and Redis
Trade-offs
- You run and maintain it yourself, including Postgres and Redis
- SSO, RBAC and audit logs are Enterprise-only, not in the free tier
- Enterprise price is not published: annual contract, quoted by sales
- Latency benchmarks are LiteLLM's own, run against a mock upstream
How LiteLLM markets itself
A structured read of the promise, proof and page design on LiteLLM’s captured homepage.
Homepage capture
“The AI Gateway”
- Angle: Developer-first
- Hero: Abstract graphic
Pricing
Published plans and prices from LiteLLM’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The LiteLLM pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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