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Perplexity: Sonar Deep Research

Source description (English)

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

View source on OpenRouter
Overview

Model specifications

Context
128,000 tokens
Maximum output
115,200 tokens
Architecture
text->text
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

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

Input
$2
per 1M tokens
Output
$8
per 1M tokens
Web search
$5
per 1,000 calls
API

Model configuration

Reasoning

Reasoning required
No
Default parameters
No
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-deep-research","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
text
Output
text
Reasoning

No

API

Supported API parameters

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningtemperaturetop_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
128K
Maximum output
115K
Input
$2
Output
$8
Cache read
Not provided
Cache write
Not provided
perplexity

4 models

All models
perplexity logoperplexity

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 logoperplexity

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 logoperplexity

Perplexity: Sonar Pro Search

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...

Context
200K
Input
text · image
Output
text
Input: $3Output: $15per 1M tokens
View model details →
perplexity logoperplexity

Perplexity: Sonar Reasoning Pro

Note: Sonar Pro pricing includes Perplexity search pricing. See details here Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...

Context
128K
Input
text · image
Output
text
Input: $2Output: $8per 1M tokens
View model details →