Sonar Pro is Perplexity's search model with deeper web retrieval across more sources. It returns citation-rich answers for complex research queries within a context window of 200K tokens.
import { streamText } from 'ai'
const result = streamText({ model: 'perplexity/sonar-pro', prompt: 'Why is the sky blue?'})Sonar Pro is the enhanced tier of Perplexity's search-augmented model family. It shares the same foundational architecture as Sonar, running a live web search on every inference call. The difference: it retrieves and processes significantly more sources per query. The result is longer answers backed by a broader evidence base.
Base Sonar handles straightforward factual lookups efficiently. Sonar Pro is built for queries that demand cross-referencing. Examples include regulatory changes across multiple jurisdictions, technical comparisons of competing frameworks, or market analysis pulling from diverse sources. The model evaluates more candidate sources, weighs conflicting information, and produces longer syntheses with richer citation coverage.
Sonar Pro keeps the same developer experience as base Sonar: a single API call returns a web-grounded, cited response with no external search configuration. The context window of 200K tokens supports extended multi-turn research sessions. If you already use base Sonar, upgrading to Pro is a model identifier change with no code modifications.