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Perplexity: Sonar Deep Research

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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

Parameters

-

Context Window

128,000

tokens

Input Price

$2

per 1M tokens

Output Price

$8

per 1M tokens

Capabilities

Model capabilities and supported modalities

Performance

Reasoning

Excellent reasoning capabilities with strong logical analysis

Math

-

Coding

-

Knowledge

Extensive knowledge base with broad coverage of topics

Modalities

Input Modalities

text

Output Modalities

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LLM Price Calculator

Calculate the cost of using this model

$0.003000
$0.024000
Input Cost:$0.003000
Output Cost:$0.024000
Total Cost:$0.027000
Estimated usage: 4,500 tokens

Monthly Cost Estimator

Based on different usage levels

Light Usage
$0.1000
~10 requests
Moderate Usage
$1.0000
~100 requests
Heavy Usage
$10.0000
~1000 requests
Enterprise
$100.0000
~10,000 requests
Note: Estimates based on current token count settings per request.
Last Updated: 2025/05/06