Sonar Reasoning Pro

Perplexity chatvisionreasoningtool_use

API ID: perplexity/sonar-reasoning-pro

Input Price
$2.00
/1M tokens
Output Price
$8.00
/1M tokens

About Sonar Reasoning Pro

Sonar Reasoning Pro is Perplexity's premium reasoning model, combining search augmentation with maximum analytical capability. The model excels at complex queries requiring sophisticated reasoning over current information. Sonar Reasoning Pro provides the deepest analysis with comprehensive source citation. For professional applications requiring maximum research and reasoning capability, this model offers Perplexity's best offering.

๐Ÿ’ฐ
Price Ranking
#887 lowest price among 950 Chat models

Model Specifications

Context Length
128k
Max Output
โ€”
Release Date
2025-03-07
Capabilities
chat vision reasoning tool_use
Input Modalities
textimage
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$3.30
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$102.00
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$141.00
/month
500 analyses/day, ~2k tokens each

Perplexity Model Lineup

Compare all models from Perplexity to find the best fit

Model Input Output Context Capabilities
Sonar Reasoning Pro Current Free Free 128k chat vision reasoning tool_use
Llama3 Sonar 70B Online Free Free 28k chat
Llama3 Sonar 70B Online Free Free 28k chat
Llama3 Sonar 8B Online Free Free 28k chat
Llama3 Sonar 8B Online Free Free 28k chat
Llama3 Sonar 8B Free Free 33k chat

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๐Ÿš€ Quick Start

Get started with Sonar Reasoning Pro 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-pro",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)