sonar-deep-research

Sonar Deep Research is a research-focused model built around multi-step retrieval, synthesis, and reasoning across complex topics. Unlike standard language models, it operates autonomously—searching, reading, and evaluating sources while refining its approach as information accumulates. This design makes it suited for producing comprehensive reports in domains like finance, technology, health, and current events, where accuracy and breadth across varied sources matter more than simple question-answering.

The model runs multiple searches as part of an exhaustive research phase before reasoning through gathered material. These reasoning tokens are processed separately from standard chain-of-thought steps, representing a distinct analytical stage where the model works through research findings before generating outputs. Report generation and source-grounded synthesis appear to be the model's core strengths, positioning it as a practical tool for researchers and analysts who need thorough, structured outputs built from real-time information gathering.