sonar-pro
Sonar Pro is Perplexity’s search-grounded API for enterprises that need in-depth, multi-step queries with added extensibility. Its price includes Perplexity search fees.
Pricing: Input 720 credits / 1M tokens (≈ $3.60), Output 3600 credits / 1M tokens (≈ $18.00).
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Sonar Pro API on ModelFold
Sonar Pro is Perplexity’s search-grounded API for enterprises that need in-depth, multi-step queries with added extensibility. Its price includes Perplexity search fees. Try Sonar Pro in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Sonar Pro API
Sonar Pro at a glance
Sonar Pro is a chat model from Perplexity. It accepts text and images as input and returns text, with a context window of up to 200K tokens.
Use it without hosting anything
On ModelFold you call Sonar Pro 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 Pro
Up to 200K 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.
Understands images
Besides text, Sonar Pro accepts images as input, so a single request can combine instructions with visual or other media.
How to Use Sonar Pro 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 Pro 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.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "sonar-pro" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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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 Pro
Enterprise workflows
Automate internal processes such as reporting, knowledge-base Q&A, ticket handling and document review.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Frequently Asked Questions
What is Sonar Pro?⌄
Sonar Pro is Perplexity’s search-grounded API for enterprises that need in-depth, multi-step queries with added extensibility. Its price includes Perplexity search fees.
Which inputs does Sonar Pro support?⌄
Sonar Pro accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Sonar Pro?⌄
Up to 200K tokens, shared between your input and the model’s output.
Does Sonar Pro support function calling?⌄
Function calling is not listed for Sonar Pro; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Sonar Pro 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 Pro through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "sonar-pro", using your ModelFold API key as the Bearer token.
| Input | 720 credits 1M tokens≈ $3.60 |
| Output | 3600 credits 1M tokens≈ $18.00 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →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-pro","messages":[{"role":"user","content":"Hello"}]}'