Using Perplexity Online Models for Real-Time Web Data with AI

If you want to use AI models capable of real-time data retrieval from online sources, Perplexity Online Models are an excellent choice. These models are specifically designed to incorporate live data into their outputs, making them ideal for tasks that require up-to-date information from the web.

Overview of Perplexity Online Models

Perplexity Online Models are versions of the Perplexity AI models that include "online" in their names. These models can fetch and integrate real-time web data into their responses, enhancing their ability to provide accurate and current information.

Sample Model List

Below are some examples of Perplexity Online Models:

1. perplexity/llama-3.1-sonar-huge-128k-online

   • A high-capacity model suitable for tasks requiring detailed, comprehensive responses.

2. perplexity/llama-3.1-sonar-large-128k-online

   • A balanced model offering a mix of performance and efficiency.

3. perplexity/llama-3.1-sonar-small-128k-online

   • A lightweight model optimized for speed and simpler tasks.

These models are tagged with "online" to indicate their capability for real-time web data retrieval.

How to Use Perplexity Online Models

1. Register with a Provider:

   • Sign up with one of the supported providers:
     • OpenRouter: Requires adding credits to access models.
     • Straico: Offers free access to these models.

2. Get Your API Key:

   • After registration, navigate to the API key section in your chosen provider’s dashboard.
     • Get a Straico API key
     • Get an OpenRouter API key
   • Copy your API key.

3. Add the API Key to the Add-On Settings:

   • Open the settings in your add-on.
   • Paste the copied API key into the designated API key field.

4. Start Using Perplexity Online Models:

   • Once the API key is configured, you can select and use Perplexity Online Models like perplexity/llama-3.1-sonar-huge-128k-online directly from the add-on.

Now you’re ready to use real-time web-enabled AI models for your tasks!