Vercel AI GatewayvsFireworks AI

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 ↗

Fireworks AI

LLM APIs & Inference

Fast and efficient LLM inference platform

Full review →Website ↗
FeatureVercel AI GatewayFireworks AI
CategoryLLM APIs & InferenceLLM APIs & Inference
PricingFree monthly credits; pay-as-you-go at provider list price with no markupPay-per-use
GitHub Stars——
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
  • ✓ Fast inference
  • ✓ Fine-tuning
  • ✓ Function calling
  • ✓ JSON mode
  • ✓ Batch API
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
  • + Fast inference speeds
  • + Function calling support
  • + JSON mode
  • + Competitive pricing
  • + Batch API
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
  • − Smaller model selection
  • − Less known brand
  • − Documentation could improve
  • − No free tier for inference
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
inferencefastcloudapi

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