---
title: Hosted Uncensored API vs Local Open-Weight Models
description: Compare hosted uncensored APIs and local open-weight inference by hardware, privacy, deployment effort and total cost.
canonical: https://routerhub.si/guides/hosted-vs-local-uncensored-models
---

Model guide
# Hosted Uncensored API vs Local Open-Weight Models
A hosted uncensored API runs reduced-refusal models on managed infrastructure; local inference runs open-weight models on your own hardware.
By RouterHub · Updated 3 November 2026

## Hosted API or local inference?
A hosted API handles GPUs, model loading and the inference server. Local inference gives you control over hardware, runtime, capacity planning, updates and access control.

## Model setup and configuration
For hosted inference, choose the API ID, protocol and token budget. For local inference, choose the checkpoint, licence, quantization and runtime, then record the release hash. Evaluate each configuration with the same prompts and settings.

## Understand the privacy boundary
Local inference keeps prompts on hardware you control when the application is configured for local processing. A hosted API sends request data to the service and selected inference infrastructure. Review retention terms and application logging.
RouterHub retains account usage and security/audit records, and web chat can save conversation history. Read [Privacy](https://routerhub.si/privacy) for data handling and retention, and keep secrets out of prompts.

## Compare total cost
Hosted costs depend on input, output, cache usage and all measured attempts. Local costs include GPUs or rental, memory, electricity, operations, utilization and your time. Compare models with similar task quality and context requirements.

## Choose your next step

- [Start with a hosted API Connect with Python or cURL.](https://routerhub.si/guides/uncensored-ai-api)
- [Compare hosted uncensored models Browse uncensored models and compare prices.](https://routerhub.si/models/uncensored)
- [Community model library and open-weight references Read the source, examples and project notes on GitHub.](https://github.com/routerhubSI/uncensored-models)
- [Evaluate both options Compare task quality and cost with repeatable tests.](https://routerhub.si/guides/evaluating-uncensored-models)