Analysis Summary
Perplexity Sonar Deep Research is positioned as a deep research assistant, likely combining retrieval with extended reasoning over long documents. It has a 128K context window but no tool use, function calling, or vision support, and no benchmark data is available to assess its reasoning or language quality independently.
For businesses, its appeal is narrow: it may suit research synthesis tasks where web-grounded, long-form output is the primary need. Without benchmarks, however, its quality relative to established alternatives cannot be confirmed. The lack of multimodal or agentic capabilities further limits its versatility.
At $2.00 input and $8.00 output per million tokens, it carries meaningful cost without a verifiable quality baseline. Teams should evaluate it experimentally against benchmarked research-capable models before committing to production use.
Assessed July 10, 2026
Editorial notes
Perplexity Sonar Deep Research is a research-focused model with no benchmark data, a 128K context window, and no tool use or vision support.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Perplexity Sonar Deep Research is a research-focused model with no benchmark data, a 128K context window, and no tool use or vision support.
How Perplexity: Sonar Deep Research compares
Its 128K-token context window is larger than 41% of the models we list. At $2.00 per million input tokens it is cheaper than 17% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $8.00 | $0.008000 |
What would Perplexity: Sonar Deep Research cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Perplexity: Sonar Deep Research for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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 about Perplexity: Sonar Deep Research
How much does Perplexity: Sonar Deep Research cost?
Perplexity: Sonar Deep Research costs $2.00 per million input tokens and $8.00 per million output tokens.
What is the context window of Perplexity: Sonar Deep Research?
Perplexity: Sonar Deep Research has a context window of 128,000 tokens (128K).
Who created Perplexity: Sonar Deep Research?
Perplexity: Sonar Deep Research is developed by Perplexity and was released on March 7, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 10:00 am