Perplexity: Sonar Deep Research

Text input Text output
Author's Description

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers information. This enables comprehensive report generation across domains like finance, technology, health, and current events. Notes on Pricing ([Source](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-deep-research)) - Input tokens comprise of Prompt tokens (user prompt) + Citation tokens (these are processed tokens from running searches) - Deep Research runs multiple searches to conduct exhaustive research. Searches are priced at $5/1000 searches. A request that does 30 searches will cost $0.15 in this step. - Reasoning is a distinct step in Deep Research since it does extensive automated reasoning through all the material it gathers during its research phase. Reasoning tokens here are a bit different than the CoTs in the answer - these are tokens that we use to reason through the research material prior to generating the outputs via the CoTs. Reasoning tokens are priced at $3/1M tokens

Key Specifications
Cost
$$$$$
Context
128K
Released
Mar 06, 2025
Supported Parameters

This model supports the following parameters:

Top P Reasoning Include Reasoning Max Tokens Presence Penalty Temperature Frequency Penalty
Features

This model supports the following features:

Reasoning
Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $2
Completion $8
Internal Reasoning $3
Web Search $5000

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Perplexity
Perplexity | perplexity/sonar-deep-research 128K $2 / 1M tokens $8 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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