Vercel AI GatewayvsFlowise

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 ↗

Flowise

Automation Platforms

Drag-and-drop LLM flow builder

Full review →Website ↗
FeatureVercel AI GatewayFlowise
CategoryLLM APIs & InferenceAutomation Platforms
PricingFree monthly credits; pay-as-you-go at provider list price with no markupFree (open-source) + Cloud
GitHub Stars—
✓ More stars
35k
PlatformsWeb, APImacOS, Linux, Windows, 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
  • ✓ Visual flow builder
  • ✓ LangChain integration
  • ✓ Chatbot builder
  • ✓ Agent flows
  • ✓ API endpoints
  • ✓ Custom tools
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
  • + No-code visual builder
  • + LangChain/LlamaIndex integration
  • + Easy deployment
  • + Good for prototyping
  • + Active community
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 for complex custom logic
  • − Can be buggy with some nodes
  • − Documentation gaps
  • − Less flexible than code
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
open-sourceno-codelangchainchatbotvisual

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