Sonar Deep Research is a research-focused model from Perplexity, engineered 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 in domains like finance, technology, health, and current events. The model’s pricing is based on prompt tokens, citation tokens, and the number of searches and reasoning tokens used during its extensive research phase.
$1.00market price $2.00
$4.00market price $8.00
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
Sonar Deep Research is a research-focused model from Perplexity, engineered for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers information.
On NagaAI, Sonar Deep Research costs $1 per 1M input tokens and $4 per 1M output tokens. You pay only for what you use, with no subscription.
Sonar Deep Research reads up to 128k tokens in one request, counting the prompt and the answer together.
Sonar Deep Research can answer in a JSON schema you give it. Tool calling is not available for it.
It takes text as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
Not enough throughput data
Not enough TTFT data
