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Sonar Deep Research

Perplexity AI

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...

Updated 28 min ago · first seen 11 Sept 2026

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Context
128K tokens
T2 · 28 min ago
Released
7 Mar 2025
T2 · 28 min ago

Specification

Release date
7 Mar 2025

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Context window
128K tokens

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Max output
115.2K tokens

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Modalities
text

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Input modalities
text

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Output modalities
text

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Instruct type
deepseek-r1

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Openrouter id
perplexity/sonar-deep-research

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Supported parameters
frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, temperature, top_k, top_p, web_search_options

Source:OpenRouter public model & pricing listingT2observed 28 min agomedium

Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →

Provenance

Attributed facts

13

Source tiers

T213

Freshest observation

28 min ago

Conflicts

None