PortkeyvsMicrosoft AutoGen

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 ↗

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

Full review →Website ↗
FeaturePortkeyMicrosoft AutoGen
CategoryLLM APIs & InferenceAI Agent Frameworks
PricingFree + Pro plansFree (open-source)
GitHub Stars
6k
✓ More stars
35k
PlatformsWeb, DockerLinux, macOS, Windows
Key Features
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
  • ✓ Multi-agent conversations
  • ✓ Code execution
  • ✓ Human-in-the-loop
  • ✓ Customizable
  • ✓ Group chat
Pros
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
Cons
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
  • − Complex API for beginners
  • − Heavy dependency tree
  • − Documentation could be better
  • − Resource intensive
Tags
gatewayreliabilityobservabilityapi
multi-agentmicrosoftconversationsopen-source

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