Vercel AI GatewayvsPortkey

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

Vercel AI Gateway

LLM APIs & Inference

Unified API gateway for routing app calls across hundreds of AI models

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

FeatureVercel AI GatewayPortkey
CategoryLLM APIs & InferenceLLM APIs & Inference
PricingFree monthly credits; pay-as-you-go at provider list price with no markupFree + Pro plans
GitHub Stars
More stars
6k
PlatformsWeb, APIWeb, Docker
Key Features
  • Single API key
  • Hundreds of models
  • Unified model API
  • Provider routing and fallbacks
  • Automatic retries
  • Usage and spend monitoring
  • Bring Your Own Key
  • AI SDK and OpenAI-compatible APIs
  • AI gateway
  • Fallbacks
  • Load balancing
  • Caching
  • Observability
Pros
  • + One endpoint for many model providers
  • + Centralized usage, spend, and observability
  • + Automatic retries and fallbacks improve production resilience
  • + No token markup according to Vercel docs
  • + Works with AI SDK and OpenAI-compatible API clients
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
Cons
  • Best fit for teams already building web apps or using Vercel/AI SDK
  • Underlying provider terms and model limits still apply
  • BYOK fallback can still consume AI Gateway credits
  • Exact model pricing should be checked in the current Gateway model list
  • Added infrastructure layer
  • Learning curve
  • Some features need Pro
  • Latency overhead
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
gatewayreliabilityobservabilityapi

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