Sonar Deep Research

Closed weights Perplexity February 2025

No estimate

No hardware requirements for this model

The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.

On record

Full specification

Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.

Origin

Who built this model, where, and when it was published.

Organisation
Perplexity
Organisation type
Industry
Country
United States of America
Published
14 February 2025

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Language
Task
Question answering, Chat, Language modeling/generation, Quantitative reasoning, Text summarization

Size

How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.

Training data
tokens

Availability

Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.

Weights
Closed — provider access only
Model access
Hosted access (no API)
Training code
Unreleased

How it is classified

Labels the source dataset applies when tracking notable models, and how confident it is in the entry.

Record confidence
Unknown

Sources

Where this record came from and when it was last checked.

Reference
Deep Research conducts comprehensive, expert-level research and synthesizes it into accessible, actionable reports.
Last updated
28 November 2025

What the numbers mean

About this model

Sonar Deep Research was published by Perplexity, in United States of America, in February 2025. The organisation is categorised as industry.

It works in Language, and is recorded as doing question answering, Chat, Language modeling/generation, Quantitative reasoning, Text summarization.

This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.

Answers

Sonar Deep Research — common questions

01

Is Sonar Deep Research open source?

No. Sonar Deep Research has not had its weights published, so it exists only as a service controlled by its owner.

02

How many parameters does Sonar Deep Research have?

No parameter count has been published for Sonar Deep Research, which is why no memory or speed figure appears on this page.

03

Who created Sonar Deep Research?

Sonar Deep Research was published by Perplexity, based in United States of America, categorised as industry.

04

When was Sonar Deep Research released?

Sonar Deep Research was published in February 2025.

05

What is Sonar Deep Research used for?

Sonar Deep Research works in Language, and is recorded as handling question answering, Chat, Language modeling/generation, Quantitative reasoning, Text summarization. These are the areas it was designed around; they describe intent rather than a hard boundary.

06

What GPU do I need to run Sonar Deep Research?

None. Sonar Deep Research is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.

Source

Original publication

Record last updated 28 November 2025

The other direction

Looking at it from the other side?

This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.