> ## Documentation Index > Fetch the complete documentation index at: https://docs-v1.latitude.so/llms.txt > Use this file to discover all available pages before exploring further. # Overview > Learn about the key concepts of Latitude experiments ## What are Experiments? **Experiments** in Latitude are a feature that let you systematically test, evaluate, and compare different prompt configurations, model versions, and parameters (like temperature) across a dataset. This enables you to find out which prompts and models work best for your use case, using real, measurable results. *** ## How Experiments Work * **Run Location:** You can run experiments directly from the Prompt Playground Run experiment in playground or from a Latitude Evaluation Open experiment modal * **Experiments Tab:** Each prompt in Latitude has an Experiments tab, where you can compare results from different experiments side-by-side. *** ## Experiment Components * **Prompt Variants:** Test different prompt wordings, instructions, or templates. * **Model Versions:** Compare outputs from different models (e.g., `gpt-4.1`, `gpt-4.1-mini`). * **Parameters:** Adjust settings like temperature to influence model behavior. * **Evaluations:** Attach evaluation metrics (e.g., accuracy, sentiment analysis) to automatically assess experiment outputs. *** ## Running an Experiment 1. **Define Variants:** Choose your prompt(s), model, and settings. 2. **Pick Evaluations:** Select which evaluation metrics to run (optional). 3. **Select Dataset:** Pick or generate a dataset to use for testing. Running an experiment Click **Run Experiment** to execute, and Latitude will process each combination and display the results. *** ## Comparing Experiments * Use the **Experiments** tab to select and compare multiple experiment runs. * Review metrics like accuracy, cost, duration, and token usage. * See detailed results, including logs and evaluation scores, for each experiment. Experiments tab comparison *** ## Benefits * **Objective Comparison:** Quickly see which prompts and models perform best on your tasks. * **Visual Analysis:** Side-by-side results make differences easy to spot. * **Cost Tracking:** Monitor token and cost usage for each variant.