Optimized for search-augmented tasks, delivering fast, accurate answers with real-time web data and detailed citations. Excels in research and fact-checking.
Use this file to discover all available pages before exploring further.
Try Perplexity Sonar in the Workbench
Run this model interactively, tune parameters, and compare outputs.
Model ID:sonarPerplexity Sonar is an LLM built on top of Llama 3.3 70B and further trained in-house by Perplexity to optimize answer quality, factuality, and readability for search-augmented tasks. It excels in delivering fast, accurate answers grounded in real-time web data with detailed citations—making it especially effective for research, fact-checking, and obtaining up-to-date information.Some other noteworthy features of Perplexity Sonar include its ability to provide concise responses with source attribution at high speed (up to 1,200 tokens per second), seamless integration with Perplexity’s search engine for enhanced user experience, and a context window suitable for handling complex queries.
Metric
Value
Parameter Count
70 billion
Mixture of Experts
No
Context Length
128,000 tokens
Multilingual
Yes
Quantized*
No
*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.