A different multi-model operating model

An OpenRouter alternative built around control and clarity

RouterLab is a multi-model API option for teams that want a Swiss-operated product layer, an explicit public catalog, familiar API formats and a documented path for coding agents. Compare the operating model—not only the number of model names.

API guides

Start with the protocol. Choose a model family or a client integration only after that.

RouterLab guide map

What you can do

Understand the connection path first, then choose a model from the live catalog.

Explicit route formats

Catalog entries identify whether a model uses OpenAI-compatible, Claude Messages or embeddings routes.

Swiss-operated product layer

RouterLab provides the customer-facing gateway, catalog, key and usage experience from Switzerland.

Agent integration paths

Use direct custom endpoints for compatible agents or the ScioNos path for Claude Code and Codex CLI.

Compare gateway fit before comparing catalog size

The right alternative depends on the route formats your software needs, the models actually available to your account, pricing, support, operational location and how clearly upstream processing is documented. RouterLab is strongest when control and a focused product surface matter.

Test the RouterLab-compatible endpoint
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.ROUTERLAB_API_KEY,
  baseURL: "https://api.routerlab.ch/v1",
});

const response = await client.chat.completions.create({
  model: "model-id-from-/v1/models",
  messages: [{ role: "user", content: "Hello RouterLab" }],
});
Use a model ID returned by GET /v1/models.

Where it fits

Start from the workload and client contract, then choose the route.

See how RouterLab works

Focused production catalog

Choose from routes that RouterLab actively publishes instead of integrating every upstream individually.

European operations

Place a Swiss-operated product layer between internal applications and multiple model providers.

Coding-agent access

Connect custom-endpoint agents directly and use ScioNos for supported terminal clients.

Get started

  1. 01

    List your required capabilities

    Write down the models, context, tools, route format, residency and support requirements that matter.

  2. 02

    Check the live RouterLab catalog

    Verify model IDs, capabilities and current pricing rather than relying on a static comparison table.

  3. 03

    Test a representative workload

    Run one real application or agent flow and compare reliability, output and total operating fit.

Common questions

Use the live catalog and API documentation as the final source for route availability.

Is RouterLab the same as OpenRouter?

No. Both can provide multi-model access, but the catalog, product layer, operational context, route design and supported workflows differ.

What should I compare?

Compare available models, API formats, feature support, pricing, upstream processing, account controls, support and the integration path for your actual clients.

Can I migrate an OpenAI-compatible application?

A compatible application can usually begin by changing the base URL, API key and model ID, then validating model-specific behavior with a real workload.