Comparisons4 min read
Neural Router vs Portkey: which LLM gateway should you use?
Portkey and Neural Router are both OpenAI-compatible gateways, so on the basics, many models behind one API, caching, failover, they overlap. The difference is where each puts its center of gravity.
Portkey's strength: observability
Portkey leads with monitoring, guardrails, and prompt management. If your first need is deep visibility into requests and prompt experimentation, that focus is a good fit.
Neural Router's strength: auditable routing
Neural Router leads with decision-level routing: each request is optimized by cost, quality, and latency, and returns a receipt showing the candidates, scores, and final choice. If your first need is to control spend and quality, and prove why each request routed where it did, that's the focus.
| Portkey | Neural Router | |
|---|---|---|
| Center of gravity | Observability & guardrails | Cost/quality routing |
| Per-request decision receipts | Logs & analytics | Full routing receipt |
| Cost-per-successful-task optimization | Limited | Core objective |
| OpenAI-compatible | Yes | Yes |
These aren't opposites, both speak the OpenAI API, so trialing Neural Router is a base-URL change. Many teams care about both; the question is which you lead with.