PortkeyvsWeights & Biases

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 ↗

Weights & Biases

MLOps & Monitoring

ML experiment tracking, model management and monitoring

Full review →Website ↗
FeaturePortkeyWeights & Biases
CategoryLLM APIs & InferenceMLOps & Monitoring
PricingFree + Pro plansFree + Teams $50/mo
GitHub Stars
6k
✓ More stars
9k
PlatformsWeb, DockerLinux, macOS, Windows, Web
Key Features
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
  • ✓ Experiment tracking
  • ✓ Model registry
  • ✓ Sweeps
  • ✓ Reports
  • ✓ Artifacts
Pros
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
  • + Best-in-class experiment tracking
  • + Beautiful visualization
  • + Team collaboration features
  • + Model registry
  • + Free for individuals
Cons
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
  • − Can be overwhelming for beginners
  • − Teams pricing adds up
  • − Some features locked to enterprise
  • − Heavy client library
Tags
gatewayreliabilityobservabilityapi
mlopstrackingexperimentsmonitoring

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