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How to compare a local model with a cloud model in Studio with Paddock

Send the same prompt to a model on your box and a model behind OpenRouter, then view the answers together.

Authorization notice. Paddock is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forAn AI engineer or product owner choosing between a self-hosted open model and a hosted model for a task.

The problemJudging whether a local model is good enough means running the same prompt through two different tools and comparing the output by hand.

The outcomeA side-by-side view in the Studio showing the local and cloud answers to one prompt, so you can decide which model to use.

What you need first

  • An NVIDIA GPU with the NVIDIA driver installed, or an Apple Silicon Mac running macOS 26 or later
  • Download access to the Paddock release page on GitHub (Windows, Linux, Linux arm64 on DGX Spark, or macOS)
  • Disk space for the model checkpoints you choose to download
  • For cloud comparison: an account with an OpenRouter or other OpenAI-compatible endpoint, if you want to compare against a cloud model

Steps

  1. Run paddock and open the Studio in your browser.
  2. Download and start a model from the Models tested list on your own machine.
  3. Add an OpenRouter or other OpenAI-compatible endpoint in the Studio as the cloud side of the comparison.
  4. Enter one prompt and send it to both models in the side-by-side view.
  5. Read both answers and note which one fits your task better.

Prompt for your agent

Using the Paddock repo at truespar/paddock, set up a side-by-side comparison in the Studio between a local model at <local-model-name> and a cloud model at <cloud-endpoint>. Output the prompt and both replies. Verify that both answers appear in the same view for the same prompt.

Caveat. The Studio is a web UI in the CLI package, and the native macOS app is pre-release and less complete than the web Studio.

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