PE

Perplexity: Sonar Pro Search

Perplexity

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based on tokens plus $18 per thousand requests. This model powers the Pro Search mode on the Perplexity platform. Sonar Pro Search adds autonomous, multi-step reasoning to Sonar Pro. So, instead of just one query + synthesis, it plans and executes entire research workflows using tools.

textvision
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Specifications

Context Window200K
Modalitiestext, vision
Statusavailable
Categorythird-party
Model IDperplexity/sonar-pro-search

Quick Start

TypeScript
import OpenAI from 'openai'

const client = new OpenAI({
  apiKey: process.env.HANZO_API_KEY,
  baseURL: 'https://api.hanzo.ai/v1'
})

const response = await client.chat.completions.create({
  model: 'perplexity/sonar-pro-search',
  messages: [{ role: 'user', content: 'Hello!' }]
})

console.log(response.choices[0].message.content)
Python
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["HANZO_API_KEY"],
    base_url="https://api.hanzo.ai/v1"
)

response = client.chat.completions.create(
    model="perplexity/sonar-pro-search",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
cURL
curl https://api.hanzo.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $HANZO_API_KEY" \
  -d '{
    "model": "perplexity/sonar-pro-search",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Go
package main

import (
    "context"
    "fmt"
    "os"

    "github.com/sashabaranov/go-openai"
)

func main() {
    cfg := openai.DefaultConfig(os.Getenv("HANZO_API_KEY"))
    cfg.BaseURL = "https://api.hanzo.ai/v1"
    client := openai.NewClientWithConfig(cfg)

    resp, _ := client.CreateChatCompletion(context.Background(),
        openai.ChatCompletionRequest{
            Model: "perplexity/sonar-pro-search",
            Messages: []openai.ChatCompletionMessage{
                {Role: openai.ChatMessageRoleUser, Content: "Hello!"},
            },
        },
    )
    fmt.Println(resp.Choices[0].Message.Content)
}

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