Vercel AI GatewayvsHelicone

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

Full review →Website ↗

Helicone

MLOps & Monitoring

Open-source LLM observability platform

Full review →Website ↗
FeatureVercel AI GatewayHelicone
CategoryLLM APIs & InferenceMLOps & Monitoring
PricingFree monthly credits; pay-as-you-go at provider list price with no markupFree + Pro plans
GitHub Stars—
✓ More stars
3k
PlatformsWeb, APIWeb
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
  • ✓ Request logging
  • ✓ Cost tracking
  • ✓ Latency monitoring
  • ✓ Prompt management
  • ✓ User tracking
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
  • + One-line integration
  • + Cost tracking
  • + Latency monitoring
  • + Prompt management
  • + Open-source
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
  • − Limited free tier
  • − Cloud-focused
  • − Smaller feature set vs W&B
  • − Less mature
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
observabilitymonitoringcostsopen-source

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