perplexity

Perplexity: Sonar

Name: Perplexity: Sonar
Creator: perplexity
Published: 2025-01-27T21:36:48.000Z

Source description (English)

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...

View source on OpenRouter

Overview

Model specifications

Context: 127,072 tokens
Maximum output: 114,364 tokens
Architecture: text+image->text
Tokenizer: Other
Knowledge cutoff: Not provided
Moderated: No

OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input: $1
Output: $1
Web search: $5

API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"perplexity/sonar","messages":[{"role":"user","content":"Hello!"}]}'

Capabilities

Input → Output

Input

textimage

Output

text

API

Supported API parameters

frequency_penaltymax_tokenspresence_penaltytemperaturetop_ktop_pweb_search_options

Available providers

1 Provider

Checked: September 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Perplexity

Not provided

Context: 127K
Maximum output: 114K
Input: $1
Output: $1
Cache read: Not provided
Cache write: Not provided

perplexity

4 models

All models

perplexity

Released Mar 16, 2026

Perplexity: Embed V1 4B

pplx-embed-v1 -4B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 4B parameter model maximizing retrieval...

Context: 32K
Input: text
Output: embeddings

Input: $0.03per 1M tokens

View model details →

perplexity

Released Mar 16, 2026

Perplexity: Embed V1 0.6B

pplx-embed-v1-0.6B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 0.6B parameter model targeting lightweight, low-latency...

Context: 32K
Input: text
Output: embeddings

Input: $0.004per 1M tokens

View model details →

perplexity

Released Oct 30, 2025