Model Cost Profile

Perplexity: Sonar Deep Research

Developer: perplexity

Pricing updated Mar 11, 2026

Input rank: #285Output rank: #274

Live Pricing

Input: $2.00

Output: $8.00

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Perplexity: Sonar Deep Research offers a substantial context window of 128,000 tokens, making it ideal for complex research tasks and extensive document analysis. Teams utilizing this API model can expect a competitive pricing structure, with input costs at $2.00 per million tokens and output costs at $8.00 per million tokens, which can impact budget planning for large-scale projects. This model is particularly beneficial for applications requiring deep contextual understanding, such as legal document review or academic research synthesis.

๐Ÿง  Reasoning

Context Window

128,000

Tokens

Input Price / 1M

$2.00

Prompt tokens

Output Price / 1M

$8.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Perplexity: Sonar Deep Research Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$2.00$5.00$8.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$2.00

Current Output / 1M

$8.00

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Perplexity: Sonar Deep Research.

How much does Perplexity: Sonar Deep Research cost per 1M input tokens?

Perplexity: Sonar Deep Research input pricing is $2.00 per 1M tokens based on the latest synced provider data.

How much does Perplexity: Sonar Deep Research cost per 1M output tokens?

Perplexity: Sonar Deep Research output pricing is $8.00 per 1M tokens based on the latest synced provider data.

What context window does Perplexity: Sonar Deep Research support?

Perplexity: Sonar Deep Research supports a context window of 128,000 tokens.

How can I compare Perplexity: Sonar Deep Research with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.