LangflowvsPortkey

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

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

FeatureLangflowPortkey
CategoryAutomation PlatformsLLM APIs & Inference
PricingFree (open-source) + CloudFree + Pro plans
GitHub Stars
More stars
35k
6k
PlatformsLinux, macOS, Windows, Docker, WebWeb, Docker
Key Features
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
  • AI gateway
  • Fallbacks
  • Load balancing
  • Caching
  • Observability
Pros
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
Cons
  • Tied to LangChain ecosystem
  • Limited for very custom logic
  • Can be slow for complex flows
  • Still maturing
  • Added infrastructure layer
  • Learning curve
  • Some features need Pro
  • Latency overhead
Tags
no-codevisuallangchainopen-source
gatewayreliabilityobservabilityapi

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