Perplexity Sonar
Perplexity Sonar is a search-augmented language model that combines real-time web search with AI-generated answers. It retrieves current information from the web and synthesizes it into clear, cited responses.
Key Features
Real-time web search integration
Inline citations for verifiability
Up-to-date information beyond training cutoff
Concise, well-structured answers
Ideal Use Cases
Research queries requiring current information
Fact-checking and verification workflows
News monitoring and trend analysis
Quick-reference lookups with citations
Technical Specifications
| Context Window | 128K tokens |
| Modality | Text → Text |
| Provider | Perplexity |
| Category | Search |
| Web Search | Built-in |
| Citations | Inline |
API Usage
1 curl -X POST https://api.vincony.com/v1/chat/completions \ 2 -H "Authorization: Bearer YOUR_API_KEY" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "model": "perplexity/sonar", 6 "messages": [ 7 { "role": "user", "content": "Hello, Perplexity Sonar!" } 8 ] 9 }'
Replace YOUR_API_KEY with your Vincony API key. OpenAI-compatible endpoint — works with any OpenAI SDK.
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Frequently Asked Questions
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