> ## Documentation Index
> Fetch the complete documentation index at: https://docs.traceport.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Playground

> Test and compare models side-by-side with an interactive prompt editor.

The **Playground** is an interactive environment for rapid testing and refinement of your LLM interactions — before you write a single line of code.

Navigate to **Playground** under AI Tools in the sidebar.

<Frame>
  <video autoPlay loop muted playsInline src="https://mintcdn.com/traceport/ZXBNThc7kv_3RvjA/images/playground.mp4?fit=max&auto=format&n=ZXBNThc7kv_3RvjA&q=85&s=8118bb7959d42d8703bea429dd0d07f9" className="w-full rounded-lg" data-path="images/playground.mp4" />
</Frame>

## Interface Layout

The Playground is split into sections:

* **Model Selector** — Choose your provider and model from a dropdown (supports OpenAI, Anthropic, Google, and more).
* **System Prompt** — Define the system instructions that set the model's behavior and context.
* **User Message** — Write sample user messages to test how the model responds.
* **Output Panel** — View the model's response in real-time.

## Multi-Model Comparisons

One of Traceport's standout features is the ability to compare multiple models **side-by-side**:

<Steps>
  <Step title="Add Comparison">
    Click the **Add Comparison** button to add another model column.
  </Step>

  <Step title="Select Models">
    Choose different providers and models for each column (e.g., GPT-4o vs Claude 3.5 Sonnet).
  </Step>

  <Step title="Run">
    Hit **Run** to dispatch your prompts to all selected models simultaneously.
  </Step>

  <Step title="Compare Results">
    Review responses side-by-side to evaluate quality, speed, and cost tradeoffs.
  </Step>
</Steps>

<Tip>
  Use multi-model comparison to quickly find the best model for your use case before committing to it in production.
</Tip>

## Save as Prompt

Once satisfied with a configuration, click **Save as Prompt** to save the entire setup — system instructions, model, and parameters — to your [Prompts](/ai-tools/prompts) library for version-controlled management and API access.