Leanroute vs LiteLLM

Managed gateway vs self-hosted proxy.

LiteLLM is the open-source LLM proxy with the deepest model coverage and a strong Python SDK. It also has a managed cloud tier. We're managed-only, with billing, dashboard, request log, and BYOK encryption wired up out of the box. The honest comparison comes down to whether you want to run a proxy yourself.

Snapshot date: June 2026. Cross-checked against docs.litellm.ai.

TL;DR

Pick Leanroute if you want a hosted LLM gateway without operating infrastructure — dashboard, billing, per-org cache, BYOK encryption, and APAC + India provider depth all work the moment you point at our base URL. Pick LiteLLM if you (a) already run Kubernetes and one more deployment is cheaper than one more SaaS bill, (b) need a niche provider we don't carry, or (c) value the open-source license for audit / compliance / future-proofing reasons.

Where we differ

Dimension	Leanroute	LiteLLM
Deployment model	Managed (we run it)	Self-host (Python proxy) + paid cloud
Open source?	No (managed SaaS)	Yes (MIT)
Cost model	$15/$25 BYOK subscription or 5% top-up-fee credits	Free if self-hosted; cloud paid
Setup time	Paste base URL + key (5 min)	Self-host: 1-2 hours; cloud: similar to us
Dashboard / cost analytics	Built in, per-request log	Built-in Admin UI (self-host); cloud has more
Per-org billing + Stripe	Yes (prepaid credit balance)	Self-host: no; cloud: yes
Total providers	10 (curated, all first-class)	100+ via unified SDK
APAC providers (Qwen/GLM/Doubao/Kimi)	First-class with vision	Yes via SDK; less first-class
India providers (Sarvam/Krutrim)	Yes, both	Sarvam yes via OpenAI-compatible; Krutrim partial
BYOK encryption at rest	AES-256-GCM under master key	Self-host: your responsibility
Multi-account failover	Yes (5xx → same-tier alt, #23)	Yes via fallback config
Streaming + tool calls everywhere	Yes (#25)	Yes for OpenAI-shape; some providers have gaps
Data residency	Singapore by default	Self-host: wherever you put it
SOC 2	Type II planned Q1 2027	Cloud has Type I; community self-host is on you
Best for	Teams that don't want to run infra	Platform teams already operating K8s

The infrastructure question

Self-hosting a proxy isn't free even when the software is. A typical LiteLLM production deployment requires a Postgres instance for usage logs, a Redis for caching, a Python runtime under a process manager, a reverse proxy for TLS, monitoring + log shipping, on-call rotation, and security review for the secrets-handling path (BYOK encryption is on you).

If your team already runs all of that for other services, adding LiteLLM is incremental work and you keep full control. If you don't, the managed path saves you ~2 weeks of setup and probably $400-800/month in infrastructure + ops time, which dwarfs our $15 Starter or $25 Pro BYOK subscription on any meaningful workload.

We'd not pitch you against LiteLLM if you're a platform-engineering shop with Kubernetes experience and 0% tolerance for SaaS. That's their lane and they're good at it.

What managed gets you out of the box

Billing. Prepaid credit balance via Stripe Checkout. Per-request decrement, refund accounting, hourly reconciliation cron. None of that exists in stock LiteLLM self-host.
Request log + dashboard. Per-request row with cost, latency, provider, BYOK flag, failover flag. Filter, search, export. Survives org delete.
BYOK encryption. AES-256-GCM at rest, master key held only as a runtime secret, decryption only on the request path. We thought about it so you don't have to.
Per-org cache scoping. Namespaced cache keys mean a hit from one org can never satisfy another. With LiteLLM self-host, this is one of the first things you have to design.
No-persistence mode. Per-org toggle that bypasses cache and emits a verification header. Stock LiteLLM doesn't ship this.
Multi-account failover. When a provider 5xx's, we transparently retry on a same-tier alternative. LiteLLM has fallback configuration but it's declarative; ours is reactive on actual errors.

Where LiteLLM still wins

Open source license. MIT. You can fork it, audit it, vendor it, run it air-gapped. We're a SaaS; we won't pretend otherwise.
Provider breadth. 100+ via their unified SDK. If your workload depends on Bedrock, Vertex, Ollama, or a niche local model, they cover it natively and we don't.
Self-host control. All your data, your hardware, your network policy. No SaaS-vendor surprise.
Python SDK ergonomics. The litellm.completion() call is genuinely nice for one-off scripts. We're pure-HTTP, so you use the OpenAI SDK instead.

The hybrid option

You can use both. Some teams self-host LiteLLM as a first-line proxy for their internal applications and point it at Leanroute as one of the configured providers. That gives them the local-control story for their primary deployment and our APAC depth + cost math for the upstream calls. It's not the most common configuration, but it's the cleanest answer when you want both.