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

# Model Comparison

> Explore the different ways to compare AI models in DualMind Arena — Random, Topper, and Manual modes.

## Comparison Modes

DualMind Arena offers three distinct ways to evaluate models, each serving a different research purpose.

### 1. Random Battle (Discovery)

In **Random Battle**, the system selects two different models from the active pool at random.

**Best for:**

* **Unbiased Discovery**: Finding hidden gems among smaller or open-source models.
* **Fair Leaderboard Data**: Contributing the most valuable, unbiased data to the global rankings.
* **General Testing**: Checking how models handle a wide variety of prompts without preconceptions.

<Note>
  This mode contributes the highest weight to the global ELO leaderboard because it is the most statistically neutral.
</Note>

### 2. Topper Battle (Challenge)

In **Topper Battle**, the current #1 ranked model (the "King of the Hill") is paired against a random challenger.

**Best for:**

* **Stress Testing Strategies**: Specifically trying to break the top model to see if others can handle edge cases better.
* **Verification**: Confirming if the top-ranked model truly deserves its spot across different domains (coding, creative writing, math).
* **Update Checks**: Quickly checking if a newly released model can dethrone the current champion.

### 3. Side-by-Side (Manual Selection)

In **Side-by-Side** mode, you explicitly choose Model A and Model B from the dropdown menu.

**Best for:**

* **A/B Testing**: Directly comparing two specific versions (e.g., Llama 3 vs Llama 2).
* **Regression Testing**: Checking if a specific model response has degraded compared to another.
* **Use-Case Validation**: testing two specific models known for coding to see which is better for your specific language.

## Voting Options

When voting, accuracy is key. You have four options:

| Vote                | Meaning                                                   | Statistical Impact                         |
| :------------------ | :-------------------------------------------------------- | :----------------------------------------- |
| **Left is Better**  | Model A provided a distinctly better response             | Model A wins, Model B loses                |
| **Right is Better** | Model B provided a distinctly better response             | Model B wins, Model A loses                |
| **Tie**             | Both models gave high-quality, helpful responses          | Points shared (benefits lower-rated model) |
| **Both Bad**        | Neither model followed instructions or gave a good answer | No points awarded; flagged for review      |

## Best Practices for Comparison

To get the most out of DualMind Arena:

1. **Use Challenging Prompts**: Simple "Hello" prompts don't reveal intelligence. Ask for complex reasoning, code generation, or creative nuance.
2. **Check Constraints**: Did the model follow negative constraints? (e.g., "Write a story *without* using the letter 'e'").
3. **Verify Facts**: For factual queries, check if the models hallucinated wrong information.
4. **Ignore Formatting**: Try to look past bolding or bullet points and focus on the *content* quality.