Competitive comparison

LLM gateway alternative for teams that optimize continuously

Many gateways route requests. LLMWise is designed to improve model decisions over time using your own request traces.

Start FreeRun traffic replayBack to overview
Teams switch because
Need ongoing optimization, not one-time setup
Teams switch because
Need measurable model policy impact
Teams switch because
Need reliability + cost + latency constraints in one control surface
Generic LLM Gateways vs LLMWise
CapabilityGeneric LLM GatewaysLLMWise
Request routingYesYes
Continuous evaluation loopRareBuilt-in
Replay simulationsRareBuilt-in
Optimization alertsRareBuilt-in
Five orchestration modesRareYes

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

How is this different from a normal API proxy?
LLMWise gives optimization policy and evaluation workflows, not just proxying requests to providers.
Is this only for large companies?
No. It is designed for small and mid-size teams that need strong model outcomes without infra-heavy ops.
Related pages
OpenRouterPortkeyLiteLLMCloudflare AI Gateway