OpenRoutervsLiteLLM

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

OpenRouter

LLM APIs & Inference

Unified API for 200+ AI models from all providers

LiteLLM

LLM APIs & Inference

Unified API proxy for 100+ LLM providers — one interface, any model

FeatureOpenRouterLiteLLM
CategoryLLM APIs & InferenceLLM APIs & Inference
PricingPay-per-use (varies by model)Free (open-source), hosted proxy available
GitHub Stars
More stars
16k
PlatformsWebLinux, macOS, Docker
Key Features
  • 200+ models
  • Unified API
  • Auto-fallback
  • Rate limiting
  • Usage tracking
  • OpenAI-compatible
  • Unified API for 100+ LLM providers
  • Load balancing across multiple API keys/providers
  • Automatic fallbacks when providers fail
  • Spend tracking and budget alerts per team/project
  • Rate limiting and retry logic built-in
  • OpenAI SDK compatible — zero code changes
  • Self-hostable proxy server
  • Supports streaming, function calling, vision
Pros
  • + Access to 100+ models via one API
  • + Automatic fallbacks
  • + Pay-per-use pricing
  • + Model comparison features
  • + Free models available
  • + One API for 100+ providers
  • + Built-in load balancing and fallbacks
  • + Spend tracking and rate limiting
  • + OpenAI SDK compatible
Cons
  • Added latency from proxy layer
  • Markup on some model prices
  • Depends on upstream availability
  • Limited advanced features
  • Adds a proxy layer (slight latency)
  • Complex config for advanced features
Tags
apimulti-modelgatewayroutingpay-per-use
api-gatewaymulti-providerproxyopen-source

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