Model comparison
Perplexity Sonar Deep Research vs GPT-5
Capability radar, value bars, and side-by-side posture.
Perplexity Sonar Deep Research
Not scored
value score
GPT-5
94
value score
Perplexity Sonar Deep Research ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | Perplexity Sonar Deep Research | GPT-5 |
|---|---|---|
| Developer | Perplexity | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | Sonar Deep Research is Perplexity AI's agentic research API model that autonomously conducts multi-step web searches, evaluates sources, and synthesizes long-form cited reports for complex questions. It is purpose-built for exhaustive retrieval and report generation rather than conversational chat. | OpenAI frontier multimodal model. |