PortkeyvsvLLM

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

vLLM

Local AI Infrastructure

High-throughput LLM serving engine

FeaturePortkeyvLLM
CategoryLLM APIs & InferenceLocal AI Infrastructure
PricingFree + Pro plansFree (open-source)
GitHub Stars
6k
More stars
45k
PlatformsWeb, DockerLinux
Key Features
  • AI gateway
  • Fallbacks
  • Load balancing
  • Caching
  • Observability
  • PagedAttention
  • Continuous batching
  • Tensor parallelism
  • OpenAI-compatible API
  • Multi-GPU
  • Quantization
Pros
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
  • + Extremely fast inference
  • + Efficient GPU memory usage
  • + OpenAI-compatible API
  • + Continuous batching
  • + Production-ready
Cons
  • Added infrastructure layer
  • Learning curve
  • Some features need Pro
  • Latency overhead
  • Requires NVIDIA GPU
  • Complex setup for beginners
  • Limited model format support
  • Heavy resource requirements
Tags
gatewayreliabilityobservabilityapi
open-sourceinferenceservinggpuhigh-throughput

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