AI Infrastructure comparison

LiteLLM vs Portkey

Pricing, pros, cons, and ideal use cases — side by side.

LiteLLMFreemium

An open-source LLM gateway that gives you one consistent API and proxy across 100+ model providers, with key management and spend tracking.

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PortkeyFreemium

An AI gateway that adds routing, caching, observability, and guardrails to LLM traffic through a single control plane.

Visit Portkey

At a glance

LiteLLMPortkey
PricingFreemiumOpen-source and free to self-host. A paid enterprise edition adds SSO, audit logs, and support.FreemiumFree developer tier. Paid Pro and Enterprise plans add volume, self-hosting, and governance.
CategoryAI InfrastructureAI Infrastructure
Ideal for
Teams using multiple model providersPlatform teams centralizing LLM access and spendEnterprises wanting provider portability
Enterprises standardizing LLM access across teamsPlatform teams needing routing and failoverOrgs wanting cost and reliability controls in one place

Pros & cons

LiteLLM

Pros
  • One consistent API across 100+ providers
  • Proxy adds key management, budgets, and spend logging
  • Avoids provider lock-in
  • Lightweight to adopt
Cons
  • Self-hosting the proxy is your operational burden
  • A gateway is one more hop to monitor
  • Advanced governance features are in the paid edition

Portkey

Pros
  • Routing, failover, and caching out of the box
  • Built-in observability and cost analytics
  • Guardrails enforced at the gateway
  • Managed or self-hosted
Cons
  • Another vendor in the critical request path
  • Overlaps with observability tools you may already run
  • Full governance features need a paid plan

Which should you choose?

LiteLLM is built around teams using multiple model providers; Portkey leans more toward enterprises standardizing llm access across teams. Shortlist the one whose strengths line up with your biggest constraint.

See all LiteLLM alternatives →See all Portkey alternatives →Browse all AI Infrastructure tools →