Sonar
Sonar
The base model from Perplexity, designed for quick and efficient reasoning with high factual accuracy.Use Cases:
- Search-based agents
- Quick factual Q&A bots
- Lightweight citation-based chat
- Reliable with grounded responses
- Cost-efficient
- Low latency, ideal for user-facing apps
Sonar Pro
Sonar Pro
An upgraded version of Sonar with better reasoning depth and longer context support.Use Cases:
- Knowledge bots for support desks
- Domain-specific assistant agents
- Data lookup with explanation agents
- More robust inference than base Sonar
- Higher quality citations
- Great for structured Q&A pipelines
Sonar Reasoning
Sonar Reasoning
Tailored for high-quality logical deduction and problem-solving.Use Cases:
- Math agents
- Workflow automation with condition handling
- Complex RAG inferencing
- Superior logic reasoning
- Handles multi-step answers
- Excellent choice for decision-making workflows
Sonar Pro Reasoning
Sonar Pro Reasoning
Combines Pro-level capability with advanced reasoning for enterprise-grade agent use cases.Use Cases:
- Executive assistant agents
- Legal/finance advisory bots
- Cross-document understanding agents
- Highest quality from Perplexity line
- Handles nuance and deep logic
- Ideal for vertical-specific enterprise tools
R1-1776
R1-1776
A specialized research model from Perplexity optimized for historical, contextual, or philosophical depth.Use Cases:
- Deep research agents
- Philosophical exploration bots
- Long-form report generation
- Strong in temporal/historical context
- High retention for long chains
- Suitable for academic-type LLM tasks
📌 Perplexity models in Lyzr can be used as default LLMs in RAG, chat agents, or multi-agent orchestration setups. Leverage their factual robustness in your knowledge-intensive applications.