Perplexity: Sonar Deep Research
- by perplexity
- 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...
What the numbers mean
- Context window128,000 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 96,000 words, or 192 pages.
- Max output115,200 tokens
- The longest single reply it can write: about 86,000 words.
- Input price$2 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output price$8 per million tokens
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs less than a cent.
- Modalitiestext in, text out
- The kinds of content it accepts and the kinds it produces. A model that takes images in can read a screenshot; one that only puts text out cannot draw.
Supported parameters
The settings you can pass with a request. A model that lists tools can call functions; one that lists structured_outputs can be held to a JSON schema.
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningtemperaturetop_ktop_pweb_search_options