LiteLLM alternative

The LiteLLM alternative —
managed, observable, EU-ready

Same unified API across 300+ models, same drop-in OpenAI compatibility — without self-hosting a proxy, bolting on Helicone for logs, or writing your own budget service. Tracing, evals, and EU regions included.

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Zero infra to run

No proxy, no Postgres, no Redis. Patches and CVEs on us — same OpenAI client, none of the ops.

All-in-one platform

Tracing, evals, and budgets in one gateway — no Helicone, Langfuse, or custom budget service to wire up.

Managed EU residency

Run on AWS Bedrock Frankfurt, Azure EU, or Berget AI — no EU proxy infra to deploy yourself.

At a glance

LiteLLM alternatives, compared

LiteLLM vs Opper feature comparison
Feature	LiteLLM (self-hosted)	Opper
Unified API across 300+ models	Yes	Yes
Drop-in OpenAI SDK compatibility	Yes	Yes
Hosted, no infrastructure to run	Self-hosted proxy	Yes
Built-in tracing and span-level observability	BYO Helicone / Langfuse	Native
Evaluations and quality scoring	No	Yes
Managed EU data residency	DIY in EU regions	EU regions on AWS, Azure, Berget
Per-user spend caps (virtual keys)	Native	Yes
PII and prompt-injection guards	Via integrations	Yes
GDPR-aligned audit trail	Self-host your own	Yes
Agent SDK, CLI, and wallet	No	Yes
Operational overhead	Platform team	None

Want to compare individual models head-to-head? Run them side by side in the model playground →

Trusted by 50k+ developers and companies serving 10M+ users

Why teams switch

Why teams move from LiteLLM to Opper

LiteLLM is the most widely adopted open-source LLM gateway, and for good reason. But running it in production is a platform-team job — and observability, evals, EU residency, and security perimeter are still separate problems to solve.

Self-hosting is infra you don't want

Running LiteLLM in production means a Docker container, a Postgres, a Redis, a config.yaml, monitoring, patches, and on-call — plus owning the security perimeter, from CVE response to supply-chain risk. The widely-reported March 2026 LiteLLM PyPI compromise is a recent reminder that self-hosted OSS proxies inherit dependencies they can't always see.

Observability is a separate stack

LiteLLM is excellent at forwarding traces to Langfuse, Helicone, Datadog, and OpenTelemetry — but the trace UI, evals, and dataset evaluation live in those tools, not the proxy. That's another contract, another integration, another thing to keep healthy.

EU residency is on you

The LiteLLM team doesn't operate a managed EU offering. Self-hosting in EU regions means deploying proxy infra in EU clouds, contracting EU upstream providers, and writing the DPAs yourself. Managed EU residency is faster and contractually cleaner for teams who don't want to be in the infra business.

It's a proxy, not an agent platform

LiteLLM routes calls — and does it well. Opper routes calls and gives you an Agent SDK, Agent CLI, AI Wallet, and a control plane to ship multi-tenant agents — without bolting another five tools onto the proxy.

The Opper Way

What Opper gives you that LiteLLM doesn't

A managed gateway with the production primitives baked in — not assembled.

Managed gateway — no proxy, no security perimeter

No container to deploy, no Postgres or Redis to operate, no config.yaml to maintain. And no CVE feed to monitor, no supply-chain compromises to triage at 2am. When you self-host an LLM proxy, you inherit the entire security perimeter — incident response included. With Opper, that's our problem.

Zero infrastructure to operate
Patches, CVEs, and incident response on us
Enterprise SLA available on managed plans

Self-hosted LiteLLM

· Deploy proxy container
· Configure config.yaml
· Wire up Postgres + Redis
· Add Helicone for traces
· Add Langfuse for evals
· Patch + monitor uptime

Opper (managed)

One API key
Tracing built in
Evals built in
EU regions, no infra
Patches and CVEs on us

Same OpenAI client, none of the ops

One platform — not Helicone + Langfuse + Datadog

Tracing, evals, audit logs, budget caps, and PII filters all live in Opper — not in five separate vendors. One contract, one dashboard, one place to debug an agent run from request to response.

Native span-level tracing
Auto-scoring and dataset evals
Searchable, exportable audit logs

See observability features

One platform, not five vendors

LiteLLM proxy

Opper Gateway

Helicone (logs)

Opper Tracing

Langfuse (evals)

Opper Evals

Custom budget service

Opper Budgets

Managed EU data residency

Run the same Anthropic, OpenAI, Google, and Mistral models on EU infrastructure — AWS Bedrock Frankfurt, Azure EU, Berget AI — without standing up your own EU proxy infra. GDPR DPAs and subprocessor chain handled.

EU regions for major model families
GDPR-compliant subprocessor chain
No EU infra to deploy yourself

Explore the LLM Gateway

Region

eu-central-1

Models accessible

claude-sonnet-4.5gpt-5gemini-2.5-promistral-large

Infra you run

none

Same OpenAI SDK, change one line

Drop-in compatible with the OpenAI client. Point base_url at Opper, use any of 300+ models from any provider, and keep your existing code, prompts, and tooling. The same compatibility LiteLLM gives you, without the proxy.

300+ models
Zero rewrites
Automatic fallbacks

app.py

from openai import OpenAI

client = OpenAI(
  base_url="https://api.opper.ai/v3/compat",
  api_key=OPPER_API_KEY,
)

response = client.chat.completions.create(
  model="openai/gpt-4o-mini",
  messages=[...]
)

# Same SDK, 300+ models, automatic fallbacks

Agent platform, not just a router

Opper is more than a gateway. The Agent SDK, Agent CLI, and AI Wallet turn the same unified API into a complete platform for building, shipping, and monetizing production agents — not a proxy you'd still need to wrap.

Agent SDK in Python and TypeScript
Agent CLI for Claude Code, OpenCode, Codex
User-funded inference via AI Wallet

Just a router

Proxy → upstream

Opper

Agent SDK

Build headless agents in Python or TypeScript

Agent CLI

Launch Claude Code, Codex, OpenCode on any model

AI Wallet

User-funded inference, no billing UI to build

Control Plane

Observe, route, steer, guard, comply

One platform, one API key

Model catalog & pricing

Access the latest models from leading providers with unified, transparent pricing per million tokens.

All prices are per 1M tokens • EU and US regions available • Prices subject to change, see docs for latest

Provider	Model	Region	Input (1M tokens)	Output (1M tokens)
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Custom Models & BYOK

Bring your own API keys or add custom model deployments using the Opper CLI or API.

opper models create example/my-gpt5 azure/gpt5-production YOUR_API_KEY

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