LiteLLM vs Portkey
Detailed side-by-side comparison to help you choose the right tool
LiteLLM
🔴DeveloperAI Gateway
LiteLLM is a self-hosted AI gateway that presents one OpenAI-compatible API across more than 100 model providers. The homepage separately claims access to over 1,800 models. Platform teams can issue virtual keys, organize users and teams, enforce budgets and rate limits, route requests, configure fallbacks and retries, log requests, export Prometheus metrics, and place models, agents, and MCP servers behind one access layer. Comparable options include [OpenRouter](/tools/openrouter), [Portkey AI
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Starting Price
FreePortkey
🔴DeveloperAI Gateway
Portkey is an AI gateway for routing, observing, securing, and governing production traffic across model providers, agents, and MCP tools. It centralizes fallbacks, guardrails, prompt operations, cost tracking, and access policy for engineering teams.
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FreeFeature Comparison
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LiteLLM - Pros & Cons
Pros
- ✓Open-source edition has no license charge for production self-hosting
- ✓One interface reduces application coupling to individual providers
- ✓Centralizes model and MCP access, cost controls, and logs
- ✓Supports private and air-gapped deployments
Cons
- ✗The customer must operate a critical production gateway
- ✗Enterprise pricing is custom and requires an annual agreement
- ✗Upstream model usage and infrastructure remain separate costs
- ✗Provider-specific behavior can leak through the normalized API
Portkey - Pros & Cons
Pros
- ✓Centralizes routing, fallbacks, observability, and policy
- ✓Supports multi-provider model access and MCP governance
- ✓Virtualized access can reduce direct credential distribution
- ✓Request and cost metadata can support team-level attribution
Cons
- ✗Fetched pricing page was script-heavy and prices need confirmation
- ✗Adds another dependency and latency hop to model requests
- ✗Retries and caching require careful side-effect and privacy controls
- ✗Gateway fees do not include underlying model-provider charges
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