Perplexity Models
Perplexity AI models available in Lyzr with recommended use cases and capabilities
Perplexity’s LLMs are known for their search-augmented reasoning capabilities and real-time web-grounded answers. These models are fast, sharp in factual tasks, and excel in scenarios where reliability and traceability are key.
All Perplexity models come integrated with Lyzr and are ready to use without any configuration.
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
Highlights:
- 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
Highlights:
- 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
Highlights:
- 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
Highlights:
- 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
Highlights:
- 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.