Vercel AI Gatewayvswhatcani.run

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 ↗

whatcani.run

Local AI Infrastructure

Find which AI models can run locally on your hardware

Full review →Website ↗
FeatureVercel AI Gatewaywhatcani.run
CategoryLLM APIs & InferenceLocal AI Infrastructure
PricingFree monthly credits; pay-as-you-go at provider list price with no markupFree
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
  • ✓ Hardware-based model discovery
  • ✓ Community benchmark data
  • ✓ Local LLM comparison
  • ✓ Token throughput references
  • ✓ Apple Silicon model lookup
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
  • + Clear utility for local AI buyers and tinkerers
  • + Good fit for high-intent local model searches
  • + Simple concept that is easy to explain
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
  • − Narrow use case
  • − Relies on community-submitted data quality
  • − Less useful for hosted API buyers
Tags
ai-gatewaymodel-routingvercelai-sdkllm-apibyokobservability
local llmmodel discoverybenchmarksapple siliconopen modelsinferencellm finder

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