Sonar Reasoning Pro
Ask a question that has to be worked through, not just looked up, and get a step-by-step answer backed by web search.
model (required, sonar-reasoning-pro) and messages in; choices[0].message.content, citations, search_results[] and usage out. Measured at about 5 seconds, flat $0.012 per request. Use it for comparison, causation and analysis. When the question is simply what is the case, post_perplexity_sonar is faster; when you need a long report over many sources rather than an answer, post_perplexity_sonar_deep_research.
Example
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
The Sonar model to use.
sonar, sonar-pro, sonar-reasoning-pro, sonar-deep-research A list of messages comprising the conversation so far.
The maximum number of tokens to generate in the response.
Sampling temperature between 0 and 2. Lower values make output more focused and deterministic.
0 <= x <= 2Nucleus sampling parameter. The model considers tokens with top_p probability mass.
0 <= x <= 1The number of tokens to keep for top-k filtering.
0 <= x <= 2048Whether to stream the response using server-sent events.
Controls how much search context to use. Affects per-request cost.
low, medium, high Penalizes new tokens based on their existing frequency in the text so far. Positive values decrease the likelihood of repeating the same line verbatim.
0 <= x <= 2Penalizes new tokens based on whether they appear in the text so far. Positive values increase the likelihood of talking about new topics.
-2 <= x <= 2Whether to return citations and search results in the response.
Filter search results by recency.
month, week, day, hour Limit search to specific domains.
Response
Successful response with AI answer and citations
Unique identifier for the completion.
The model used for the completion.
"chat.completion"
Unix timestamp of when the completion was created.
List of source URLs referenced in the answer.
Detailed search results with titles, snippets, and URLs.