Katteb

Sonar Model to fetch product specs, reviews and rankings

Perplexity Chat and reasoning models Upgrade to use perplexity/sonar

Sonar is Perplexity’s lightweight search-grounded chat model built to return short, source-linked answers from the live web. It is best for people who need quick factual lookups, product comparisons, or current-events summaries with visible citations.

Use Sonar now All models

What it can do

  • Reads images and screenshots
  • Searches the live web and cites sources
Takestext
Returnstext

What people use it for

Answer product questions with sources

Ask Sonar for a product’s specifications, recent user reviews, and how it ranks against competitors; it returns a short summary plus the web sources it used. Use this when writing comparison pages, updating product sheets, or verifying spec claims.

Quick fact checks and current-event lookups

Use Sonar to fetch the latest report, statistic, or announcement and get links to the originating pages. It is useful for editors, support agents, and analysts who need a fast, citable starting point for their work.

Short market or competitor scans

Request a concise summary of pricing changes, rankings, or public reviews across a set of competitors; Sonar synthesizes web results into a few clear bullets with sources. Use the output to draft briefs, update dashboards, or flag items for deeper research.

Why it is worth it

Questions people ask

What is Sonar best suited for?

Sonar is best for fast factual lookups, product comparisons, and short current-events summaries that need web citations. It is a lightweight, search-grounded model designed to return concise answers rather than long-form deep analysis.

How does Katteb bill Sonar usage?

Katteb bills Sonar per message in credits. Each message sent to the Sonar model consumes 3 credits from your Katteb account.

Can I rely on Sonar for citation accuracy?

Sonar includes the web sources it used, which makes it a good starting point for verification and citation. For high-stakes or exhaustive research, follow the provided links and confirm details with the original pages or use a deeper research model.

Related models