Competitive comparison

Cloudflare AI Gateway alternative for optimization-heavy teams

Use LLMWise when your main need is model decision quality, not only edge-level request proxying and observability.

Start FreeRun traffic replayBack to overview
Teams switch because
Need explicit model recommendation workflows, not just request pass-through
Teams switch because
Need policy guardrails tied to cost, latency, and reliability
Teams switch because
Need automatic snapshot history for routing drift detection
Cloudflare AI Gateway vs LLMWise
CapabilityCloudflare AI GatewayLLMWise
Edge proxyingStrongGood
Goal-based model optimizationLimitedBuilt-in
Replay from historical tracesNoBuilt-in
Optimization alertsNoBuilt-in
OpenAI-compatible APIYesYes

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

When should I choose this over Cloudflare AI Gateway?
Choose LLMWise when your differentiator is better model outcomes and lower LLM spend through optimization policy.
Can it still handle failover?
Yes. Mesh mode gives primary/fallback chains and routing traces on each request.
Related pages
OpenRouterPortkeyLiteLLMVercel AI Gateway