📖 The AI Tool Bible

LangGraph vs Portkey AI Gateway

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
LangGraph
Agents
Portkey AI Gateway
Agents
TaglineStateful, graph-based agent orchestration from LangChain.Open-source AI gateway that routes a single API call across 1,600+ LLMs with caching, fallbacks, and observability.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFreemium· Free tier available; paid Pro and Enterprise plans (contact for pricing)
ModelBYO (Claude / GPT / open)Multi-model (1,600+ LLMs)
Editorial score8.8 / 10—
Use cases
stateful agentshuman-in-loopproduction
llm-routingfallbacks-and-retriessemantic-cachingcost-observabilityprompt-managementmulti-provider-llm
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • Single unified API for 1,600+ models across every major provider
  • Open-source core (Apache-2.0) with optional managed cloud
  • Built-in load balancing, fallbacks, retries, and semantic caching
  • Real observability: latency, cost, and token usage per request
  • OpenAI-compatible, drops in by changing the base URL
Cons
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • Adds another network hop and a vendor dependency for managed users
  • Advanced features (guardrails, prompt mgmt) require the paid platform
  • Self-host setup still needs you to wire your own dashboards if you skip cloud
Websitewww.langchain.comportkey.ai
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
Pick Portkey AI Gateway if
  • ✅ Single unified API for 1,600+ models across every major provider
  • ✅ Open-source core (Apache-2.0) with optional managed cloud
  • ✅ Built-in load balancing, fallbacks, retries, and semantic caching
  • ✅ Real observability: latency, cost, and token usage per request
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