Vercel AI GatewayvsFirecrawl

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

Firecrawl

Data & ETL

Turn websites into LLM-ready markdown or structured data

FeatureVercel AI GatewayFirecrawl
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
20k
PlatformsWeb, APILinux, macOS, Docker, Web
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
  • Web scraping
  • Markdown conversion
  • Crawling
  • JavaScript rendering
  • 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
  • + LLM-optimized output
  • + Handles JavaScript sites
  • + Clean markdown conversion
  • + API + self-hosted options
  • + Fast crawling
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
  • Cloud pricing per page
  • Self-hosted needs resources
  • Some sites block crawlers
  • Rate limiting on free tier
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
scrapingwebmarkdownopen-source

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