Perplexity

Sonar Reasoning Deprecated

Lightweight reasoning offering powered by reasoning models trained with DeepSeek R1.

Unknown N/A context 32,768 tokens output
Text

Model Overview

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Provider

The entity that provides this model.

Perplexity

Input Context Window

The number of tokens supported by the input context window.

N/A tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

32,768 tokens tokens

Open Source

Whether the model's code is available for public use.

No

Release Date

When the model was first released.

Unknown

Knowledge Cut-off Date

When the model's knowledge was last updated.

Unknown

API Providers

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Perplexity

Modalities

Types of data this model can process.

Text

Pricing for Sonar Reasoning Deprecated

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Price Comparison

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maxTemperature 1.9
maxResponseSize 32,768 tokens

API Access & Providers

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Perplexity

Configuration & Parameters

The configurable options currently documented for this model.

Return Citations

Select

Determines whether or not a request to an online model should return citations.

Default: false
No Yes

Return Images

Select

Determines whether or not a request to an online model should return images.

Default: false
No Yes

Search Context Size

Select

Controls how much web information is retrieved. Higher context provides more comprehensive results but costs more per request.

Default: low
Low (Fastest, cheapest) Medium (Balanced) High (Best for research)

Supported Request Parameters

Parameters currently listed by OpenRouter or the local catalog for this model.

Return Citations Return Images Search Context Size

Resources & Documentation

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Community discussion

What people think about Sonar Reasoning Deprecated

Sonar Reasoning Deprecated discussions are most active in r/perplexity_ai, r/LocalLLaMA. Top Reddit threads cluster around safety and censorship questions.

The strongest match in this snapshot has 796 upvotes and 75 comments.

[https://github.com/sentient-agi/OpenDeepSearch](https://github.com/sentient-agi/OpenDeepSearch) 

Pretty simple to plug-and-play – nice combo of techniques (react / codeact / dynamic few-shot) integrated with search / calculator tools. I guess that’s all you need to beat SOTA billion dollar search companies :) Probably would be super interesting / useful to use with multi-agent workflows too.

Open Reddit thread
r/perplexity_ai 58 upvotes 25 comments January 30, 2025
Perplexity Sonar Reasoning launched today

Deepseek R1 powered API model by Perplexity, here is the announcement email from PPLX:

>Hi there,

> We launched Sonar Reasoning – Perplexity's new API that’s powered by DeepSeek's reasoning models.

>With Sonar Reasoning, you can build products with chain-of-thought reasoning, real-time web search, and cited answers–all backed by our commitment to privacy and data protection.

>A few important details to note about Sonar Reasoning:

>Our models are hosted in US data centers

>Our models are uncensored

>Zero data collection or sharing. Period.

>Ready to build? Check out our documentation and start integrating today.

>Best regards,

>The Perplexity API Team

Tried it out this morning and integrated it in my wrapper, and have to say it's pretty good! Also does the 'thinking' step just like the regular Deepseek, definitely seems to give pretty thoughtful answers.

What are you going to build with this?

[Screenshot from sonar-reasoning on https:\/\/magicdoor.ai](https://preview.redd.it/x3c79o3qa1ge1.png?width=1890&format=png&auto=webp&s=552a01237fa8ba1600dbff5ab0cdfd28bb31b088)

Open Reddit thread

Hi everyone,

I’ve been using the `sonar-reasoning-pro` model via API recently, but I noticed that the `<think>` blocks (the chain-of-thought/reasoning process) seem to have disappeared from the response `content`.

Previously, I could see the model's internal reasoning, but now I only get the final output. Has anyone else noticed this change?

* Is there a specific parameter I need to toggle now to keep seeing the thoughts?
* Or is this a known bug/update?

Would appreciate any insights. Thanks!

Open Reddit thread
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