PortkeyvsLangflow

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

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

Full review →Website ↗

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

Full review →Website ↗
FeaturePortkeyLangflow
CategoryLLM APIs & InferenceAutomation Platforms
PricingFree + Pro plansFree (open-source) + Cloud
GitHub Stars
6k
✓ More stars
35k
PlatformsWeb, DockerLinux, macOS, Windows, Docker, Web
Key Features
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
  • ✓ Visual builder
  • ✓ Drag-and-drop
  • ✓ Component library
  • ✓ API export
  • ✓ Multi-model
Pros
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
Cons
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
  • − Tied to LangChain ecosystem
  • − Limited for very custom logic
  • − Can be slow for complex flows
  • − Still maturing
Tags
gatewayreliabilityobservabilityapi
no-codevisuallangchainopen-source

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