Comparisons · 4 min read

AtlasBurn vs LiteLLM — self-hosted budgets or managed AI cost guardrails?

LiteLLM is an open-source AI gateway you run yourself, with budgets and rate limits on keys, users and teams. AtlasBurn is hosted, tracks cost per feature, and automatically catches runaway loops. Here's when each one fits.

By Akhil Anand · November 8, 2026

Short answer: LiteLLM is a free, open-source (MIT) gateway you deploy yourself. It gives you one API for 100+ providers, plus budgets and rate limits on keys, users and teams. AtlasBurn is a hosted service you add in a few minutes: it tracks cost per feature, forecasts the bill, and automatically catches loops and budget breaches. If you want to run your own gateway, LiteLLM is excellent. If you want spend protection without running infrastructure, that's AtlasBurn.

Last checked against LiteLLM's own site and docs on 8 November 2026. Sources are linked at the end. If something has changed, tell us at [email protected].

At a glance

AtlasBurn LiteLLM
Built for AI spend: per-feature cost, forecasting, guardrails One API for 100+ LLM providers (Python SDK or proxy server)
How you run it Hosted; add the JS/TS SDK or point any language at the edge proxy Self-hosted proxy (Docker, Helm, Terraform); a hosted option is listed
Needs a database No Budgets and spend tracking need one
Stores prompts and outputs Never — usage numbers only Message logging can be turned off (turn_off_message_logging)
Budgets Daily and hourly, per project max_budget on keys, users, teams, end users and more, with reset windows
Rate limits Request-rate burst detection RPM and TPM limits on keys, teams and agents
Loop detection Yes: identical requests and runaway context, per feature Not stated; agents can have iteration and per-session budget caps
On a breach Throttle first for loops and bursts, block if it continues; budgets block at once Request rejected with a budget_exceeded error
License and price Free during beta; SDK Apache-2.0; plans from $0 and $19 Gateway MIT and free; Enterprise (SSO, RBAC, audit logs) on request

Caps you configure vs detection that runs itself

LiteLLM's budgets are precise and flexible: give a key, user or team a maximum spend and a reset window, and requests over it are rejected. Rate limits work the same way for requests or tokens per minute. If you know each caller's right limit, this is a strong setup — and it's free if you run it.

The gap is the problem budgets don't describe well: a loop. A runaway agent usually stays under any sensible per-key budget for a while — it just makes the same call again and again, or keeps growing its context, until the daily total is far higher than it should be. AtlasBurn watches each feature for exactly those patterns:

  • Identical-request loops — the same model and input size repeated within 30 seconds.
  • Runaway context — inputs that keep growing until they've at least doubled in a short burst.
  • Request-rate bursts, budget breaches and sudden jumps to premium models.

A looping feature is slowed to one call every 2 seconds on the Kill Switch tier, and blocked if it's still going 60 seconds later or has cost more than your limit. Only that feature is affected.

Running it

LiteLLM is infrastructure you own: deploy the proxy, connect a database for spend and budgets, and keep it up — it sits in the path of every AI call. That's a feature if you want full control.

AtlasBurn is hosted. The SDK fails open: if AtlasBurn is unreachable, your AI calls go through as normal. The edge proxy runs on Cloudflare and also forwards traffic unchanged if AtlasBurn's own checks fail.

Which should you choose?

  • Choose LiteLLM if you want a self-hosted, open-source gateway across many providers with per-key, per-user and per-team budgets.
  • Choose AtlasBurn if you want per-feature cost, a bill forecast and automatic loop detection without running a gateway or database.
  • Use both: LiteLLM for routing and per-key budgets, AtlasBurn to catch loops and show cost by product feature. AtlasBurn's SDK auto-captures calls that go straight to a provider, not calls through your LiteLLM proxy, so in that setup send usage to AtlasBurn's ingest API.

Sources

Try AtlasBurn free