Vercel AI GatewayvsCrawl4AI

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 ↗

Crawl4AI

Data & ETL

Open-source LLM-friendly web crawler and scraper

Full review →Website ↗
FeatureVercel AI GatewayCrawl4AI
CategoryLLM APIs & InferenceData & ETL
PricingFree monthly credits; pay-as-you-go at provider list price with no markupFree (open-source)
GitHub Stars—
✓ More stars
50k
PlatformsWeb, APImacOS, Linux, 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
  • ✓ LLM-ready output
  • ✓ Markdown extraction
  • ✓ JavaScript rendering
  • ✓ Structured data
  • ✓ Batch crawling
  • ✓ API server
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
  • + Built specifically for AI/LLM use
  • + Free and open-source
  • + JavaScript rendering support
  • + Multiple output formats
  • + Fast async 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
  • − Relatively new project
  • − Limited documentation
  • − May struggle with complex sites
  • − Needs Python environment
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
open-sourcescrapingcrawlerragdata

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