perplexitymodel

Perplexity: Sonar Deep Research

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

text reasoning long-context

Best for

Complex ReasoningMath & LogicResearchLong Documents

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Context Window

128K tokens ≈ 284 pages of text

Input Cost

Free

Output Cost

—

Latency p50

25ms

Pricing Details

Standard Pricing

Input (per 1M tokens)

$0.00

Output (per 1M tokens)

$0.00

Price history

7/26/2026$0.00 in / $0.00 out

7/25/2026$0.00 in / $0.00 out

7/24/2026$0.00 in / $0.00 out

7/23/2026$0.00 in / $0.00 out

7/22/2026$0.00 in / $0.00 out

Hallucination Score™ (est.)

Community reliability estimate · not official

—

Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

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Provider

perplexity

Usage & Examples

Learn how to use Perplexity: Sonar Deep Research

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how Perplexity: Sonar Deep Research works best.

Community Prompts

Proven prompts shared by the community for this model

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