Perplexity: Sonar Deep Research✓ Catalog verified
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...
Overview
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...
Access: available through the official Perplexity API. Context window: 128K.
Specifications
| API identifier | perplexity/sonar-deep-research |
| Provider | Perplexity |
| Model type | Text LLM |
| Context window | 128K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Mar 7, 2025 |
| Instruction format | deepseek-r1 |
| Moderated | No |
| Architecture modality | text->text |
Pricing
Live pricing components for perplexity/sonar-deep-research as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0.000002 | $2.00 / 1M | Per input token |
| Completion tokens | $0.000008 | $8.00 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | $0.005 | $0.005000 | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$2.6Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Perplexity: Sonar Deep Research through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="perplexity/sonar-deep-research",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AllenAI: Olmo 2 32B Instruct | Allenai | 128K | $0.05 | View → |
| Amazon: Nova Micro 1.0 | Amazon | 128K | $0.04 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Perplexity: Sonar Deep Research cost?
$2.00 per 1M input tokens and $8.00 per 1M output tokens on the official Perplexity API.
What is the context window of Perplexity: Sonar Deep Research?
Perplexity: Sonar Deep Research supports up to 128K tokens of context.
Does Perplexity: Sonar Deep Research support tool / function calling?
Perplexity: Sonar Deep Research does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access Perplexity: Sonar Deep Research?
Use the official Perplexity API with the model id `perplexity/sonar-deep-research`. See the Quick start section above for code examples.