Sonar Reasoning

Perplexity chatreasoning Free

API ID: perplexity/sonar-reasoning

Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Sonar Reasoning

Sonar Reasoning is Perplexity's advanced model combining search augmentation with enhanced reasoning capability. It tackles complex queries that require both current information and multi-step analysis, synthesizing search results through sophisticated reasoning processes. The model excels at research questions requiring analysis of multiple sources, comparative assessments, and conclusions drawn from current data. Sonar Reasoning demonstrates the power of combining real-time information access with deliberate thinking, producing well-reasoned responses grounded in cited sources. It's particularly valuable for professional research, competitive analysis, and complex fact-checking tasks. The model represents Perplexity's advancement toward AI that doesn't just retrieve information but genuinely reasons about it. For applications requiring both accuracy and analytical depth, Sonar Reasoning offers unique capability at the intersection of search and reasoning AI.

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Price Ranking
#1 lowest price among 599 Chat models โ€” Top 20% cheapest!

Model Specifications

Context Length
127k
Max Output
โ€”
Release Date
2025-01-29
Capabilities
chat reasoning
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)
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This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

Perplexity Model Lineup

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Model Input Output Context Capabilities
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๐Ÿš€ Quick Start

Get started with Sonar Reasoning API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="perplexity/sonar-reasoning",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)