LiteLLM vs Requesty

Pick two tools from the same category to compare side-by-side.

	LiteLLM Open-source LLM gateway exposing 100+ providers through a single OpenAI-compatible API, as a Python SDK or proxy server.	Requesty LLM routing gateway providing a single API across 400+ models with cost and reliability controls.
Category	routing	routing
Vendor type	hybrid	commercial
Pricing	freemium	usage
Strengths	+ Single OpenAI-compatible interface across 100+ LLM providers + Built-in retry and fallback logic across model deployments + Per-key, per-user, and per-project spend tracking and budgets + Usable as a lightweight Python SDK or a deployable proxy/gateway	+ Single API across 400+ models from 30+ providers + Routing strategies by cost, latency, and availability with automatic failover + Prompt caching and per-budget spend controls + Observability dashboards and governance such as RBAC and PII masking
Tradeoffs	− Fast-moving release cadence; practitioners report regressions and breaking changes − Running the proxy adds an extra operational service in the request path − Some features (e.g. SSO) are gated behind the enterprise license	− 5% markup on model costs versus calling providers directly − Proprietary, closed gateway that adds a hop in the request path
Used in stacks	0	0