Vercel AI GatewayvsTogether 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 ↗

Together AI

LLM APIs & Inference

Fast inference and fine-tuning for open-source models

Full review →Website ↗
FeatureVercel AI GatewayTogether 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
  • ✓ Open models
  • ✓ Serverless
  • ✓ Dedicated
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
  • + Competitive pricing
  • + Fast inference speeds
  • + Fine-tuning support
  • + Latest open models
  • + Serverless + dedicated options
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 than Replicate
  • − Less community features
  • − Documentation could be better
  • − No free tier for inference
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
inferencecloudfastopen-models

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