LangMart: Perplexity: Sonar Deep Research
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/perplexity/sonar-deep-research |
| Name | Perplexity: Sonar Deep Research |
| Provider | perplexity |
| Released | 2025-03-07 |
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)
- 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
Description
LangMart: Perplexity: Sonar Deep Research is a language model provided by perplexity. This model offers advanced capabilities for natural language processing tasks.
Provider
perplexity
Specifications
| Spec | Value |
|---|---|
| Context Window | 128,000 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $2.00 per 1M tokens |
| Output | $8.00 per 1M tokens |
Capabilities
- Frequency penalty
- Include reasoning
- Max tokens
- Presence penalty
- Reasoning
- Temperature
- Top k
- Top p
- Web search options
Detailed Analysis
Perplexity: Sonar Deep Research