LiteLLM vs Requesty

LiteLLM is an open-source AI gateway and LLM proxy for platform teams. It provides one OpenAI-compatible API to 140+ providers and 1,800+ models, with load balancing, lowest-cost routing and automatic selection of cheaper models for simple prompts. Teams can track usage and spend across keys, users, teams, organizations, tools, agents and MCP, then apply hard budgets and rate limits. Response and semantic caching can use Redis, S3 or GCS. LiteLLM can be self-hosted, including in air-gapped environments, and offers deployment through an official Helm chart or Terraform module. The maker says self-hosting has no telemetry and keeps data within the user's infrastructure. Listed security features include hardened non-root images, vulnerability scanning, SSO/JWT/RBAC controls and secrets-manager integrations. The free Open Source plan is self-hosted and includes 100+ providers, virtual keys, budgets, rate limits, fallbacks, logging and Prometheus metrics. A 30-day Enterprise trial key is available without a credit card.

Requesty is a managed AI gateway that gives applications access to more than 600 models through one API. Its OpenAI-compatible API can work with existing SDK code after changing the base URL and API key. Routing features include policy and regional rules, automatic failover and load balancing. Requesty tracks cost, latency and usage, with analytics by model, user and team. Governance options include PII detection and scrubbing, content guardrails, team roles, model allowlists and audit logs. Named integrations include OpenAI, LangChain, PydanticAI, Vercel AI SDK, Haystack and LlamaIndex TS; the integrations page also lists tools such as Claude Code, Cline, VS Code, GitHub Copilot, Codex, n8n, LibreChat and OpenWebUI. The Free plan costs nothing and allows 200 requests per day. Pay as you go costs $5 a month, with a 5% markup on model cost. Enterprise pricing is custom. Requesty is available via API and web; self-hosting is not offered.