Competitive comparison

Vercel AI Gateway alternative for teams optimizing production traffic

If your team already ships AI features, LLMWise helps you continuously choose better models using your own production traces.

Start FreeRun traffic replayBack to overview
Teams switch because
Need provider-agnostic optimization policy
Teams switch because
Need explicit replay outcomes before changing routing
Teams switch because
Need snapshot history to justify model changes to stakeholders
Vercel AI Gateway vs LLMWise
CapabilityVercel AI GatewayLLMWise
OpenAI SDK compatibilityYesYes
Policy guardrailsLimitedBuilt-in
Replay labNoBuilt-in
Drift alertsNoBuilt-in
Built-in compare/blend/judge modesNoYes

Migration path in 15 minutes

  1. Keep your OpenAI-style request payloads.
  2. Switch API base URL and auth key.
  3. Set routing policy for cost, latency, and reliability.
  4. Run replay lab, then evaluate and ship with snapshots.
OpenAI-compatible request
POST /api/v1/chat
{
  "model": "auto",
  "optimization_goal": "cost",
  "messages": [{"role": "user", "content": "..." }],
  "stream": true
}

Common questions

Will this work with existing Vercel AI app code?
In most cases yes. The API is OpenAI-compatible, so migration is usually endpoint and key replacement.
Do I still get provider flexibility?
Yes. You can route across multiple providers and enforce model-level policy constraints.
Related pages
OpenRouterPortkeyLiteLLMCloudflare AI Gateway