LiteLLM vs OpenRouter: A Model Gateway You Run vs One You Rent
LiteLLM
Open-source AI gateway and Python SDK that puts 100+ LLM providers behind one OpenAI-format API
OpenRouter
The unified interface for every model
Verdicts by Task
LiteLLM self-hosts through Docker, Helm or Terraform and supports fully air-gapped environments; OpenRouter runs only as a hosted service.
You inherit the hardening: Wiz found 9.6% of 3,074 exposed LiteLLM instances accepted the default sk-1234 master key or required no authentication.
One hosted endpoint reaches 500+ models on paid plans, and the Free plan offers 25+ free models with no deployment.
The Free plan is capped at 50 requests per day; paid use adds a 5.5% platform fee.
Virtual keys with per-key, team and user budgets and rate limits ship in LiteLLM's free open-source plan; OpenRouter's budgets and controls start on its paid Standard plan.
SSO and audit logs are LiteLLM Enterprise features, priced through sales.
LiteLLM adds no platform fee on top of provider pricing; OpenRouter charges 5.5% (Standard) or 8% (Business) on pay-as-you-go.
OpenRouter's BYOK waives its fee on the first $25,000 a month of list-price inference ($200,000 on Enterprise), then charges 5%.
OpenRouter is operated by the vendor; LiteLLM operators must track releases, and CVE-2026-59822 was exploited in the wild and added to CISA KEV on Sep 2, 2026.
The official LiteLLM Proxy Docker image was not affected by the March 2026 PyPI compromise, per LiteLLM.
Feature Comparison
| Dimension | LiteLLM | OpenRouter |
|---|---|---|
| AI-native | AI-Powered | AI-Powered |
| What it is | Open-source Python SDK plus a self-hosted Proxy Server (LLM Gateway) that puts 100+ LLM providers behind one OpenAI-format API | Hosted API: one endpoint to hundreds of models, with routing, fallbacks and cost tracking across providers |
| Deployment | Your infrastructure: official Docker images, Helm chart or Terraform module, including fully air-gapped environments | OpenRouter's cloud only; the Business plan adds US and EU in-region routing |
| Pricing | Open source $0 (MIT); Enterprise priced through sales | Free plan (25+ free models, 50 requests/day); pay-as-you-go platform fee 5.5% (Standard) or 8% (Business); Enterprise fee discounts. BYOK: first $25,000/month of list-price inference fee-free, 5% after |
| Model coverage | 100+ providers per its docs; its site claims 140+ providers and 1,892 models | 500+ models from 80+ providers on paid plans |
| Spend and access controls | Virtual keys with per-key, team and user budgets, rate limits and guardrails in the free open-source plan | Budgets and controls, auto-routing and a management API on Standard and above; none on Free |
| SSO and SLAs | Enterprise only: JWT auth, SSO, audit logs, dedicated support | Enterprise only: SSO/SAML and SLAs |
| Who patches it | You do. Compromised PyPI releases 1.82.7 and 1.82.8 were live on Mar 24, 2026; Wiz reports CVE-2026-59822 (MCP auth bypass, fixed in v1.84.0) exploited in the wild and added to CISA KEV on Sep 2, 2026 | OpenRouter does; there is nothing to deploy |
| Ownership | MIT-licensed open source, 53K+ GitHub stars per its site | Stripe agreed to acquire it on Aug 19, 2026; Stripe disclosed no price and no closing date |
| AI-native verdict | powered: a proxy that forwards requests and wraps them in keys, budgets, routing and logging | powered: a per-request relay router |
Same job, opposite operating models: LiteLLM is software you deploy, OpenRouter is a service you call
LiteLLM when traffic must stay on your own or air-gapped infrastructure
LiteLLM adds no platform fee; OpenRouter adds 5.5% to 8% on pay-as-you-go
Different counting bases; both cover the major providers
LiteLLM includes them at $0
Both reserve identity integration for the enterprise tier
Self-hosting LiteLLM makes patching and hardening your job
OpenRouter's neutrality rests on its co-founder's stated philosophy, not a contractual guarantee, during an ownership change
Both powered
Still deciding between these two?
Choosing is the easy part. Getting it running inside your business, on your data, with your team using it, is the work. We do both.
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