Sonar Deep Research overview

Provider

The company that provides the model

Perplexity

Context window

The number of tokens you can send in a prompt

Not specified

Maximum output

The maximum number of tokens a model can generate in one request

Not specified

Input token cost

The cost of prompt tokens sent to the model

$2.00 / 1M input tokens

Output token cost

The cost of output tokens generated by the model

$8.00 / 1M input tokens

Knowledge cut-off date

When the model's knowledge ends

Unknown

Release date

When the model was launched

January 21, 2025

Sonar Deep Research functionality

Function (tool calling) support

Capability for the model to use external tools

No

Vision support

Ability to process and analyze visual inputs, like images

No

Multilingual

Support for multiple languages

Not specified

Fine-tuning

Whether the model supports fine-tuning on custom datasets

No

Common questions about Sonar Deep Research

What distinguishes Sonar Deep Research?

It is tailored for deep research and analytical tasks, leveraging advanced reasoning capabilities and detailed information retrieval to support complex, research-oriented queries.

What is Sonar Deep Research?

Sonar Deep Research is a model designed specifically for in-depth analysis and research tasks, providing comprehensive, multi-step reasoning for exploring complex topics.

What are its key capabilities?

It combines advanced reasoning with robust information retrieval to deliver detailed insights. Although it doesn't support vision or tool calling, it excels in analytical and research-driven scenarios.

What use cases is it best suited for?

It is ideal for academic research, competitive intelligence, and any analytical tasks that require a deep dive into complex subjects.

Where can I find more information?

You can access the official documentation at https://docs.perplexity.ai/guides/models/sonar-deep-research.

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