PortkeyvsSemantic Kernel

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 ↗

Semantic Kernel

Developer Tools

Microsoft's AI orchestration SDK for building agents with .NET, Python, and Java

Full review →Website ↗
FeaturePortkeySemantic Kernel
CategoryLLM APIs & InferenceDeveloper Tools
PricingFree + Pro plansFree (open-source)
GitHub Stars
6k
✓ More stars
23k
PlatformsWeb, DockerLinux, macOS, Windows
Key Features
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
  • ✓ Plugin system
  • ✓ Memory
  • ✓ Planner
  • ✓ Multi-language
  • ✓ Azure integration
Pros
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
  • + Enterprise-ready with Microsoft backing
  • + Multi-language (C#, Python, Java)
  • + Deep Azure OpenAI integration
  • + Plugin architecture for extensibility
Cons
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
  • − Heavy enterprise focus
  • − Verbose API compared to alternatives
Tags
gatewayreliabilityobservabilityapi
microsoftsdkenterprisedotnet

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