a3m-router vs inference-gateway

Self-hosted LLM gateways compared

a3m-router and inference-gateway both provide an OpenAI-compatible API for sending requests to multiple LLM providers. a3m-router focuses on task-based routing, failover and ensembles, while inference-gateway offers broader provider integration and platform features such as authentication, guardrails and telemetry.

a3m-routerinference-gateway
LanguageTypeScriptGo
LicenseMITApache-2.0
Stars17215
Forks548
Last analyzedOct 23, 2026Oct 23, 2026

Key differences

  • a3m-router is written in TypeScript and uses heuristic or Jev System One routing; inference-gateway is written in Go and selects providers by model name or an explicit provider parameter.
  • a3m-router offers semantic caching, conversation memory, failover and parallel ensembles; inference-gateway adds MCP tools, A2A delegation, authentication, guardrails and telemetry.
  • a3m-router supports Node.js and Docker; inference-gateway supports containers, a standalone binary and Kubernetes deployment, including a Kubernetes operator.
  • a3m-router is MIT-licensed, while inference-gateway is Apache-2.0-licensed.
  • a3m-router is a young project with contributions concentrated among nearly all of its two contributors; inference-gateway has contributors beyond its largest contributor.
  • a3m-router highlights routing requests by task and comparing providers; inference-gateway emphasizes a shared integration layer for cloud and self-hosted models and platform controls.

Choose a3m-router if you…

  • want task-based routing with heuristic or Jev System One modes.
  • need provider failover or want to compare multiple providers through parallel ensembles.
  • prefer a TypeScript gateway that can run with Node.js or Docker.
Read the a3m-router analysis →

Choose inference-gateway if you…

  • need a Go gateway that can run as a container, standalone binary or Kubernetes deployment.
  • want MCP or A2A integrations, or authentication, guardrails and telemetry alongside model routing.
  • plan to expose cloud and self-hosted models through one API and select providers by model name or explicit parameter.
Read the inference-gateway analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.