Sonar Deep Research

perplexity

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: 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.

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Capabilities

Extended Thinking

Example Use Cases

Deep multi-source research

Comprehensive report generation

Exhaustive topic synthesis

Technical Specifications

Context Window

128,000 tokens

Max Output

128,000 tokens

Cache Miss Cost

$2 per 1M tokens

Non-Reasoning Cost

$8 per 1M tokens

Reasoning Cost

$3 per 1M tokens

Web Search Cost

$15 per 1K calls

Code Execution Cost

$0.19 per 1K calls

⚠️ Legacy

Made legacy on

Reason

Untested

Recommended Replacement

Qwen3.5 Plus