Vercel AI GatewayvsLlamaIndex

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 ↗

LlamaIndex

Data & ETL

Featured

Data framework for connecting LLMs to external data

Full review →Website ↗
FeatureVercel AI GatewayLlamaIndex
CategoryLLM APIs & InferenceData & ETL
PricingFree monthly credits; pay-as-you-go at provider list price with no markupFree (open-source) + Cloud
GitHub Stars—
✓ More stars
38k
PlatformsWeb, APILinux, macOS, Windows
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
  • ✓ RAG pipelines
  • ✓ Data connectors
  • ✓ Indexing
  • ✓ Query engine
  • ✓ Agent 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
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + 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
  • − Can be complex for simple use cases
  • − Abstractions hide complexity
  • − Learning curve for advanced features
  • − Some features require LlamaCloud
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
ragdataindexingopen-source

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