OmniRoute vs LiteLLM
Two of the top gateways, side by side: score, setup, license, activity and what each review found.
OmniRoute
OpenAI-compatible gateway that routes requests across hundreds of AI providers
LiteLLM
OpenAI-format gateway and Python SDK for calling 100+ LLM providers
| What we compare | OmniRoute | LiteLLM |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 94, widely used | 89, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 100, healthy | 83, healthy |
| Easy to run | 67, easy | 83, very easy |
| Agent-ready | 70, partly | 30, minimal |
| Facts from GitHub and the README | ||
| Stars | 75.1k | 60.9k |
| License | MIT (permissive) | custom license (read the license) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Sep 2026 | Oct 2026 |
| Language | TypeScript | Python |
| Docker | Yes | Yes |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Mentioned | Not stated |
OmniRoute
OmniRoute exposes one OpenAI-compatible endpoint at localhost:20128/v1 and routes requests to a catalog of 357+ providers, including many free tiers, with automatic fallback between them. It also accepts Claude, Gemini and Responses API formats, supports MCP and A2A, and has a dashboard for keys, quotas and free-tier usage. Providers are connected with your own accounts or API keys.
Who it is for: Developers pooling free and paid LLM providers behind one API endpoint
Strengths
- Single endpoint with automatic fallback across many providers and model IDs
- Dashboard page tracks free-tier pools and remaining quota
- Install via npm, Docker or Electron; MIT license
- Documents the free-tier token math and flags providers with risky terms
Weaknesses
- Provider count in the README varies (290, 357, 370) across sections
- The 'auto' model needs at least one eligible connected provider to route
- Providers marked tos:avoid, such as Kiro, are excluded from auto routing by default
- Free-tier token estimate depends on third-party limits that change
- no GPU
- Docker + Compose
- Compose runs Redis, Qdrant
- Models: OpenAI API, Claude API, Gemini API, Responses API
- port 20128
LiteLLM
LiteLLM translates calls to 100+ providers (OpenAI, Anthropic, Gemini, Bedrock, Azure and others) into the OpenAI format, either as a Python SDK or as a proxy server. The proxy adds virtual keys, spend tracking, guardrails, load balancing and an admin dashboard, and it also exposes A2A agent and MCP server gateways. The README reports 8ms P95 latency at 1k RPS.
Who it is for: Teams routing many LLM providers through one self-hosted API
Strengths
- One OpenAI-style API across 100+ providers and many endpoint types
- Proxy includes virtual keys, spend tracking, load balancing and admin dashboard
- Also gateways A2A agents and MCP servers
- Use as a Python library or as a standalone proxy
Weaknesses
- License reported as NOASSERTION; an enterprise tier exists, feature split unclear from README
- Proxy listens on port 4000 and its database requirements are not stated in the README excerpt
- Provider coverage varies by endpoint; many providers support only chat-style endpoints
- Python-based, so latency figures depend on the benchmark setup
- no GPU
- Docker + Compose
- Compose runs PostgreSQL
- Models: OpenAI, Anthropic, Gemini, AWS Bedrock, Azure
- port 4000