Choose the models. Keep control of the infrastructure.
Munito AI brings open models to European infrastructure through one API, and runs them wherever you need them: managed, in your own cloud account, or on-premises. For teams that need control over both the model and the place it runs, that choice matters as much as the model catalog.
Nebius Token Factory offers a managed inference platform with serverless access, dedicated endpoints and model customization. Both platforms support open models. This comparison helps you choose the deployment approach that fits your product.
Compare the platform choices
| Requirement | Munito AI | Nebius Token Factory |
|---|---|---|
| Deployment choice | Managed European infrastructure, your own cloud account, or on-premises | Serverless and dedicated endpoints on Nebius infrastructure |
| Where the capacity comes from | Rented and placed across clouds and GPU markets, run as one platform | Nebius infrastructure |
| Client libraries | OpenAI and Anthropic API formats | OpenAI-compatible API |
| Data privacy | Zero data retention by default; explicit storage controls | Publishes zero-retention inference |
| EU deployment | EU inference, and an EU data region for stored content | Publishes EU and US data center options |
| Dedicated capacity | Reserved capacity for your workload | Shared and single-tenant endpoints |
| Security program | SOC 2 and ISO 27001 in progress | Publishes SOC 2 Type II and ISO 27001 claims |
| Document workflows | Document AI alongside model inference | Model inference and customization tools |
Nebius sources, checked on 6 November 2026: Token Factory, developer overview, and enterprise offer.
Why choose Munito AI?
Choose infrastructure around your requirements
Your customer may need EU data residency, a named region, a specific provider or a deployment inside their own perimeter. Munito AI owns no GPUs and rents them, so those requirements decide where your workload runs. Keep one API as you move from shared inference to dedicated capacity, your own cloud or your own data centre.
Keep your application independent of one model
Choose among open models and use your existing OpenAI or Anthropic client libraries. Change the model as your workload, quality requirements or cost targets change. The compatibility guide covers the interfaces your application can use.
Build document workflows alongside inference
Extract document content, produce structured fields and pass the result to the model that fits the task. Munito AI brings Document AI and open models into one platform.
Work directly with the engineers
Bring your workload, latency target and data requirements. Our engineers will help you define the deployment and evaluate it against your application. The security review guide collects the documents for your customer's review.
Where Nebius fits
Nebius offers fine-tuning, custom model deployment and enterprise controls alongside its managed inference service. Its enterprise page describes SSO and dedicated capacity. Evaluate those features if your team wants model customization and deployment within the Nebius platform.
Compare costs on your workload
Use the same model version, region, input and expected output for an evaluation. Measure answer quality, latency under load and cost per completed task. Include cached input, reasoning tokens and any capacity commitment in the comparison.
Find the current rates in Munito AI's catalog and Nebius pricing. For a sustained workload, ask each provider for the deployment and commercial terms that fit your volume.
Start with your deployment requirements
Choose Munito AI when you want open models, European infrastructure and control over where the platform runs. Bring the model, workload and data requirements; keep your existing client libraries.
Talk to an engineer, or explore the EU API.