📖 The AI Tool Bible

LangGraph vs Portkey

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

 
LangGraph
Agents
Portkey
Agents
TaglineStateful, graph-based agent orchestration from LangChain.Production LLM gateway with observability, guardrails, and prompt management for teams shipping AI in anger.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFreemium· Free tier; Production ~$59/mo; Enterprise custom
ModelBYO (Claude / GPT / open)Multi-model
Editorial score8.8 / 10—
Use cases
stateful agentshuman-in-loopproduction
llm-gatewayobservabilityprompt-managementguardrailscost-controlmcp-governance
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • Unified API for 1,600+ models with OpenAI-SDK drop-in compatibility
  • Real observability: traces, costs, latency, errors per request
  • Built-in guardrails, fallbacks, retries, and semantic caching
  • Open-source core gateway, self-hostable for data-sensitive teams
  • Enterprise features (SSO, RBAC, budgets, MCP gateway) out of the box
Cons
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • Adds a hop in the request path; latency-sensitive workloads need tuning
  • Pricing tiers beyond the headline number are vague until you talk to sales
  • Some advanced governance features gated behind enterprise plans
Websitewww.langchain.comportkey.ai
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
Pick Portkey if
  • ✅ Unified API for 1,600+ models with OpenAI-SDK drop-in compatibility
  • ✅ Real observability: traces, costs, latency, errors per request
  • ✅ Built-in guardrails, fallbacks, retries, and semantic caching
  • ✅ Open-source core gateway, self-hostable for data-sensitive teams
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