LiteLLM vs Respan: LLM Gateways Comparison

LiteLLM is an open-source AI Gateway developed by BerriAI with 18,000+ GitHub stars, enabling unified access to 100+ LLM APIs through OpenAI-compatible format. Founded as a Y Combinator company with USD 1.6 million in seed funding, LiteLLM is trusted by companies like Rocket Money, Samsara, Lemonade, and Adobe. The platform provides retry and fallback logic, cost tracking, guardrails, and load balancing with MIT licensing for the core proxy. While the open-source version is free, running LiteLLM requires infrastructure costs of USD 200-500 monthly plus DevOps labor, monitoring tools, and incident response. The Enterprise version at USD 30,000 annually adds SSO, RBAC, and team-level budget enforcement. Users praise LiteLLM's unified API interface and security through open-source auditability, but note production complexity with latency overhead (20-40ms) and operational burden for self-hosting.

Respan is a unified AI gateway that provides a single API endpoint to access 250+ LLMs from every major provider including OpenAI, Anthropic, Google, Meta, Mistral, and dozens more. Built for engineering teams that need reliability and flexibility in their AI stack, Respan eliminates vendor lock-in by enabling seamless switching between models without code changes.

The platform provides intelligent model routing with automatic fallback strategies, ensuring AI applications stay online even when individual providers experience outages. Built-in load balancing distributes requests across providers for optimal performance, while real-time cost tracking and usage analytics help teams understand and control their AI spend. Respan's caching layer reduces redundant API calls, cutting costs by up to 70% for repeated queries.

Respan also includes rate limiting, request/response logging, and a unified dashboard for monitoring all LLM interactions across an organization. The platform supports prompt management, A/B testing between models, and semantic caching to accelerate response times. Teams can get started with a free tier and scale to enterprise plans with custom SLAs and dedicated support.