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Perplexity: Sonar Deep Research

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

Context Window

128K

Input Price

$2.00/M tokens

Output Price

$8.00/M tokens

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
Input$2.00/M tokens
Output$8.00/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.028000

Context Window Size
Maximum tokens the model can process in a single request
Context Window128K tokens
13% of 1M max

~96K

Words Equivalent

~64

Pages of Text

~1280

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysisResearchAcademic

Related Categories:

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