Performance Benchmarks

Loopers is built to handle huge spikes in traffic without failing to enforce your budget. Here are the results from our latest tests comparing Loopers with Python alternatives like LiteLLM.

:::note How We Tested We sent 1,000 requests at the exact same time to both systems using the same computer hardware. LiteLLM was tested using its standard settings. You can view the raw data in the project repository. :::

Test Results

Metric	Loopers (Go)	LiteLLM	Result
Budget Leakage	Capped (within lease)	0.17% ($0.000017)	Loopers limits leakage using local leases
Requests Per Second	4,623	around 176	Loopers is 25 times faster
Latency Overhead	241 milliseconds	46,813 milliseconds	Loopers has 190 times lower delay
Memory Usage	41 MB	958 MB	Loopers is 23 times lighter

Why is Loopers So Much Faster?

Language and Runtime

Loopers is written in Go. Go is a fast, compiled language that is very good at handling many tasks at the same time. LiteLLM is written in Python. Python is slower because it has to translate code as it runs and can only do one thing at a time.

System Design

Loopers uses a highly optimized proxy program built into the Go standard library. This is combined with Redis database scripts that run all budget checks in a single step, making the system incredibly fast.

Budget Checking Model

LiteLLM checks the budget after the AI call is finished. This means the AI can spend your money before LiteLLM even realizes the budget is gone. Loopers checks and reserves the budget before the call is sent. While Loopers uses local budget leases to achieve maximum throughput (allowing a potential, controlled leakage of up to $1.00 per key), it guarantees that runaway spend is capped, unlike post-call auditing tools.

Feature Comparison

Feature	Loopers	Bifrost	AgentBudget	LiteLLM
Type	Proxy Server	Proxy Server	Code Library	Proxy Server
Check Before Call	Yes (Atomic)	Yes	Yes	No
Zero Storage Keys	Yes	Yes	Yes	No
Stops stuck loops	Yes	No	Yes	No
Fail Closed Design	Yes	Varies	Not Applicable	No