Alternatives to LiteLLM

LiteLLM alternatives, compared on where the licence line falls

LiteLLM is the most widely deployed self-hosted AI gateway there is, with 57,637 GitHub stars and commits landing daily. Most teams looking at alternatives are not unhappy with it. They have hit the enterprise directory, or they need something a gateway does not do.

Reviewed 31 August 2026. Licences read from each project's LICENSE file, stars from the GitHub API, prices from each vendor's own pricing page. Prices change; verify before you buy.

Why teams look for an alternative

You hit the enterprise line
LiteLLM's root LICENSE places everything under enterprise/ under a separate licence. Virtual keys, budgets, RPM and TPM limits, spend by key, user, team and org, SSO with SCIM, and OIDC or JWT auth are listed on the enterprise page. Enterprise pricing is not published.
You need what happens after the request
LiteLLM is a gateway. Agent sessions, isolated code execution, evaluations and human review are separate systems you choose and operate.
You want published pricing
Planning a budget around a sales conversation is harder than planning around a number on a page.

The alternatives

Bifrost

Maxim AI's Go gateway, built for low overhead and simple deployment.

  • Apache-2.0 with no enterprise directory, 7,675 GitHub stars (August 2026)
  • Docker, Kubernetes or a single Go binary
  • Claims under 100 microseconds of overhead at 5,000 requests per second
  • OSS tier free forever, Enterprise custom pricing

Best for: Teams where raw proxy overhead is the binding constraint, or where the OSS tier genuinely covers the requirement.

Watch out: Guardrails, Cluster Mode for high availability, adaptive load balancing, RBAC, audit logs, log export and SSO are all Enterprise. High availability being paid makes the free build closer to a development gateway.

Full Bifrost comparison

Kong AI Gateway

AI plugins on top of Kong Gateway, the Apache-2.0 API gateway with years of production hardening.

  • Core Kong Gateway is Apache-2.0, 44,059 GitHub stars (August 2026)
  • Six AI plugins free, seventeen require an AI Gateway Enterprise licence
  • Konnect Plus includes five proxied LLMs, then $100 per month per model
  • Runs self-hosted, hybrid, DB-less and on Kubernetes

Best for: Teams already running Kong for their APIs, where AI traffic becomes another route rather than another system.

Watch out: Semantic caching, advanced rate limiting and every guardrail plugin are enterprise-only. Kong has also stated that Gateway 3.18 makes AI plugins opt-in rather than bundled.

Full Kong AI Gateway comparison

Helicone

An open source gateway and observability platform with a very low-friction integration.

  • Apache-2.0 with no enterprise directory, 6,116 GitHub stars (August 2026)
  • Maintenance mode since Mintlify's acquisition announced 3 March 2026; security updates, bug fixes and new models still ship
  • Hobby free with 10,000 requests, Pro $79/month, Team $799/month
  • A base URL change plus one auth header

Best for: Teams where observability plus routing is the whole problem and the hosted tiers suit them.

Watch out: Both Helicone and Mintlify describe it as running in maintenance mode after the March 2026 acquisition, which constrains new feature work. Supported on-prem deployment sits under Enterprise, and SOC 2 and HIPAA compliance sit on Team at $799 per month.

Full Helicone comparison

OpenRouter

A hosted aggregator giving access to the widest model catalogue available behind one key.

  • Not open source, no self-hosting option documented
  • Passes inference through without markup
  • 5.5% fee on credit purchases via Stripe with a $0.80 minimum, or 5% via crypto
  • Bring-your-own-keys free to $25,000 monthly list price, then 5%

Best for: Evaluation and experimentation, where trying twelve models this week matters more than where traffic goes.

Watch out: Prompts and responses transit OpenRouter's infrastructure. If a data residency constraint is why you are shopping, this is not a candidate.

Full OpenRouter comparison

Cloudflare AI Gateway

A Cloudflare platform service providing analytics, caching, rate limiting and fallback.

  • Not open source, no self-hosting option
  • Available on all Cloudflare plans, including free
  • Caching served from Cloudflare's edge rather than the model provider
  • One line of code to integrate

Best for: Teams already on Cloudflare with no data residency constraint. Hard to beat on price and operational burden.

Watch out: Scope stops at the request boundary, and traffic traverses Cloudflare.

Full Cloudflare AI Gateway comparison

Everstack

Ours

A gateway that ships as part of a control plane covering the agent runtime, sandboxes, memory and evaluations.

  • Apache-2.0 across the repository, with no separately licensed directory
  • Virtual keys, budgets, per-tenant limits, guardrails and clustering in the free build
  • Starter $0, Build $20/month, Scale $100/month (August 2026)
  • Self-hosted with Docker or Kubernetes at any tier

Best for: Teams who hit LiteLLM's enterprise line and also need agent execution, sandboxes or evaluations in the same place.

Watch out: Provider coverage is narrower than LiteLLM's, and the community is much smaller. If routing is your only problem, a dedicated gateway is the better-sized tool.

Full Everstack comparison

How to choose

  1. 01

    Is the feature you need on the free side of the licence line?

    Every option here except OpenRouter and Cloudflare draws a line somewhere. LiteLLM gates governance, Bifrost gates guardrails and high availability, Kong gates caching and guardrails, Helicone gates supported on-prem. Find the line before you adopt, not after.

  2. 02

    Do you actually need self-hosting?

    Cloudflare AI Gateway is free on every plan and OpenRouter passes inference through at cost. If prompts traversing a vendor is acceptable, self-hosting is a lot of operational attention to spend on a problem you do not have.

  3. 03

    Does your model list survive the move?

    LiteLLM has the widest provider coverage of anything self-hostable. Enumerate every model identifier you use and check it against the target before committing, because one niche provider can block a full cutover.

  4. 04

    How much LiteLLM SDK code do you have?

    Calling the proxy over HTTP moves with a base URL change. Importing the litellm Python library is a rewrite. Run a grep for `import litellm` before estimating anything.

Open-source AI infrastructure

Ship the AI stack
you can actually operate.

Start with one model call. Add agents, sandboxes, evaluations, memory, and traces without replacing the foundation underneath them.

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