Model comparison
Perplexity Sonar Deep Research vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
Perplexity Sonar Deep Research
Not scored
value score
Gemini 2.5 Pro
93
value score
Perplexity Sonar Deep Research ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | Perplexity Sonar Deep Research | Gemini 2.5 Pro |
|---|---|---|
| Developer | Perplexity | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| 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. | Google frontier multimodal model. |