> For the complete documentation index, see [llms.txt](https://docs.datasaur.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datasaur.ai/llm-projects/evaluation/automated-evaluation/multi-application-evaluation.md).
# Multi-model evaluation
This feature allows you to compare and evaluate the performance of multiple models using various metrics from evaluators like Ragas, Langchain, and Deepeval.
## Get started
To evaluate multiple models:
1. Navigate to the **Evaluation** page from the sidebar.
2. Click the **Create evaluation project** button and choose **Automated evaluation** project type, then **Continue**.
3. Configure your evaluation by selecting the models to evaluate and choosing a dataset from the library. If you don’t have one, you can also upload a dataset in a CSV format containing two columns: `prompt` and `expected completion`.
{% hint style="info" %}
If you can’t find your model in the list, go to the [Sandbox](/llm-projects/sandbox.md) where your model is created, and [deploy](/llm-projects/sandbox.md#deploy-models) or save to library. You can only evaluate deployed or saved models.
{% endhint %}
4. Select the metric, provider, and the evaluator model you want to use for evaluation. Learn more about the [evaluators and metrics](/llm-projects/evaluation/automated-evaluation.md#evaluators).
5. Click **Create evaluation** **project** and wait for the evaluation process to finish.
## Analyze the evaluation results
After the evaluation process is completed, you can analyze the results.
### Summary of the evaluation
Here you can view the total cost, time taken for generating completions, and the overall performance score given by the evaluator.
### Result and score from each model
Here you can view the quality, the score, and the processing time of the generated completions from each model.
### Evaluation details
To view the evaluation details of a completion, click the three-dot menu at the far right of the row, then select **View details**.
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