sonar-deep-research
Sonar Deep Research is Perplexity’s research-focused model for multi-step retrieval, synthesis and reasoning on complex topics. It searches, reads and evaluates sources on its own, refining its approach as it goes.
Precio: Entrada: 480 créditos / 1 M de tokens (≈ $2.40); salida: 1920 créditos / 1 M de tokens (≈ $9.60).
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Sonar Deep Research API on ModelFold
Sonar Deep Research is Perplexity’s research-focused model for multi-step retrieval, synthesis and reasoning on complex topics. It searches, reads and evaluates sources on its own, refining its approach as it goes. Try Sonar Deep Research in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Sonar Deep Research API
Sonar Deep Research at a glance
Sonar Deep Research is a chat model from Perplexity. It accepts text as input and returns text, with a context window of up to 128K tokens.
Use it without hosting anything
On ModelFold you call Sonar Deep Research with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Sonar Deep Research
Up to 128K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Reasoning mode
Sonar Deep Research can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
How to Use Sonar Deep Research on ModelFold
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Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Sonar Deep Research responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "sonar-deep-research" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Sonar Deep Research
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Frequently Asked Questions
What is Sonar Deep Research?⌄
Sonar Deep Research is Perplexity’s research-focused model for multi-step retrieval, synthesis and reasoning on complex topics. It searches, reads and evaluates sources on its own, refining its approach as it goes.
Which inputs does Sonar Deep Research support?⌄
Sonar Deep Research accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Sonar Deep Research?⌄
Up to 128K tokens, shared between your input and the model’s output.
Does Sonar Deep Research support function calling?⌄
Function calling is not listed for Sonar Deep Research; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Sonar Deep Research billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Sonar Deep Research through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "sonar-deep-research", using your ModelFold API key as the Bearer token.
| Entrada | 480 créditos 1M tokens≈ $2.40 |
| Salida | 1920 créditos 1M tokens≈ $9.60 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"sonar-deep-research","messages":[{"role":"user","content":"Hello"}]}'