LangChainvsPortkey

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

LangChain

AI Agent Frameworks

Framework for building applications with large language models

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

FeatureLangChainPortkey
CategoryAI Agent FrameworksLLM APIs & Inference
PricingFree + LangSmith paidFree + Pro plans
GitHub Stars
More stars
98k
6k
PlatformsmacOS, Linux, WindowsWeb, Docker
Key Features
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
  • AI gateway
  • Fallbacks
  • Load balancing
  • Caching
  • Observability
Pros
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
Cons
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
  • Added infrastructure layer
  • Learning curve
  • Some features need Pro
  • Latency overhead
Tags
open-sourceframeworkpythonjavascriptragchains
gatewayreliabilityobservabilityapi

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