Perplexity Tests New Sonar Model with Reasoning Feature

Perplexity is conducting internal trials of its Sonar Testing model, featuring a reasoning toggle for enhanced results on complex queries. This new model distinguishes itself from the existing Sonar model by incorporating this reasoning functionality.

For users, particularly those who rely on Perplexity for rapid search and information extraction, the Sonar Testing model aims to enhance both accuracy and versatility. By allowing users to toggle reasoning on or off, it offers greater control over result generation, benefiting those who need both quick facts and in-depth answers.

The model maintains fast response times, with navigational results appearing almost instantly. The addition of reasoning suggests improvements in handling complex queries, a feature highly requested by Perplexity's core audience. While the public release timeline is unclear, the model could be available within weeks.

Perplexity has established itself as a leader in AI search innovation, with the Sonar line known for instant results and link-rich summaries. An upgrade would reinforce Perplexity's strategy to compete with advanced models from larger rivals.