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Perplexity: Sonar Deep Research API Pricing

Perplexity: Sonar Deep Research costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. Context window: 128K. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Perplexity: Sonar
$1.00 in / $1.00 out
Quality score: 7.7

Cheapest perplexity model — 71% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$2.00
Output / 1M tokens
$8.00
Context window
128K
Max output
115K

Token economics

Token typePricevs base input
Standard input$2.00—
Output$8.00—
Web search tool$5/1k searches—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Perplexity: Sonar Deep Research cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$48.00
Coding agent5,0008,000 / 2,000$160.00
RAG pipeline30,0004,000 / 500$360.00
Doc summarizer2,00020,000 / 1,000$96.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Perplexity: Sonar Deep Research

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...

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Frequently asked questions

How much does Perplexity: Sonar Deep Research cost?

Perplexity: Sonar Deep Research costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

128K tokens, with up to 115K output tokens per response. That's roughly 160 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.

Official resources