LiteLLM vs Respan
Updated March 10, 2026
Overview
LiteLLM is an open-source LLM proxy that translates OpenAI-format API calls to 100+ LLM providers. It provides a standardized interface for calling models from Anthropic, Google, Azure, AWS Bedrock, and dozens more. LiteLLM is popular as a self-hosted gateway with features like spend tracking, rate limiting, and team management.
Respan is a unified AI gateway that provides a single API endpoint to access 250+ LLMs from every major provider. It offers intelligent model routing, fallback strategies, cost optimization, load balancing, and real-time observability—enabling teams to build resilient AI applications without vendor lock-in. Respan simplifies multi-model orchestration with built-in caching, rate limiting, and usage analytics across all providers.
Key features
Core capabilities each platform advertises.
- Open-source LLM proxy
- OpenAI-compatible API for 100+ providers
- Budget management and rate limiting
- Self-hostable
- Automatic retries and fallbacks
- Unified LLM API with 200+ models
- Real-time cost and performance analytics
- Automatic fallbacks and load balancing
- Prompt management and versioning
- Built-in evaluation and monitoring
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Free open-source core with MIT license
- Unified interface to 100+ LLM providers
- 18k+ GitHub stars with strong community
- Trusted by major enterprises
Cons
- Hidden operational costs (USD 200-500/mo infrastructure)
- Production latency overhead (20-40ms typical)
- Enterprise features require USD 30k annual fee
- Operational burden for self-hosting teams
Pros
- Single API endpoint for 250+ LLMs eliminates vendor lock-in
- Automatic fallback ensures uptime even during provider outages
- Real-time cost tracking and analytics across all providers
- Built-in caching reduces redundant API costs significantly
- Easy integration with existing codebases via OpenAI-compatible API
Cons
- Additional latency from routing through a gateway layer
- Newer platform with smaller community compared to established tools
- Some advanced provider-specific features may not be fully supported
LiteLLM or Respan — which should you choose?
Choose LiteLLM if you wantChoose if you want
- Self-hosted LLM gateway for data control
- Standardizing LLM access across teams
- Budget enforcement per team or project
- Provider migration without code changes
- Open-source LLM infrastructure
Choose Respan if you wantChoose if you want
- Multi-provider LLM orchestration
- LLM cost optimization and tracking
- Production monitoring and observability
- A/B testing across models
- Enterprise LLM governance