a3m-router vs helicone

LLM routing and observability projects compared

a3m-router and helicone both route LLM requests across providers and can be self-hosted. a3m-router focuses on request routing and cost controls, while helicone combines routing with observability, prompt management, and usage analytics.

a3m-routerhelicone
LanguageTypeScriptTypeScript
LicenseMITApache-2.0
Stars176.2k
Forks5683
Last analyzedOct 23, 2026Oct 7, 2026

Key differences

  • a3m-router uses heuristic and machine-learning routing modes, semantic caching, and optional parallel ensembles; helicone emphasizes request traces, cost and latency tracking, and prompt workflows.
  • a3m-router documents a catalog of more than 80 providers, while helicone routes to more than 100 models through a unified gateway API.
  • a3m-router is MIT-licensed; helicone is Apache-2.0-licensed.
  • a3m-router supports Node.js 18 or newer and Docker; helicone requires Node.js 20 or later, and its self-hosted observability stack uses multiple components with Docker Compose.
  • a3m-router is less than six months old, with contributor activity concentrated in one of two contributors; helicone has regular contributions from many developers but has had no release in over a year.
  • a3m-router is suited to teams managing provider choice and routing on their own infrastructure; helicone also serves teams that need to inspect sessions, monitor production usage, or manage prompts.

Choose a3m-router if you…

  • need a self-hosted gateway focused on routing requests by complexity and cost.
  • want semantic caching, provider failover, or parallel ensembles as routing options.
  • prefer a documented Node.js 18-or-newer runtime and MIT license.
Read the a3m-router analysis →

Choose helicone if you…

  • need to inspect LLM requests, traces, and sessions alongside routing.
  • want to track cost and latency or manage prompt versions and tests.
  • need a unified gateway for more than 100 models and can deploy its observability stack with Docker Compose.
Read the helicone analysis →

Compare the numbers side by side, or add more projects

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