LiteLLM Review 2026

LiteLLM is a self-hosted AI gateway that presents one OpenAI-compatible API across more than 100 model providers. The homepage separately claims access to over 1,800 models. Platform teams can issue virtual keys, organize users and teams, enforce budgets and rate limits, route requests, configure fallbacks and retries, log requests, export Prometheus metrics, and place models, agents, and MCP servers behind one access layer. Comparable options include [OpenRouter](/tools/openrouter), [Portkey AI

LiteLLM is a freemium, open-source AI gateway and unified API proxy for engineering teams that need one OpenAI-compatible control plane to route requests across 100+ LLM providers, add load balancing and failovers, track spend, enforce budgets, and self-host the gateway while evaluating custom-priced Enterprise support. It is built for engineering and platform teams that want to run applications across many large language model providers while preserving a familiar OpenAI-compatible interface, centralizing routing policy, and avoiding repeated provider-specific integration work in every application or service. Its core value is abstraction: application teams can send requests through one gateway layer while LiteLLM handles provider-specific routing behind the scenes.

According to the supplied metadata, LiteLLM supports 100+ providers, load balancing, automatic failovers, spend tracking, budget controls, and self-hosted deployment options. That makes it most useful when a team has moved beyond a single-model prototype and needs a more durable layer for reliability, cost governance, and provider flexibility. Instead of wiring every service directly to OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Mistral, Cohere, or other providers, teams can standardize on LiteLLM as the shared access point and adjust routing rules, fallback behavior, budgets, and keys centrally.