Sonar Pro Search API: toman pricing and code
perplexity/sonar-pro-search
You are billed for the usage the request actually reported. Prices follow the market. Web search: 6,231.95 toman per request.Pricing and top-ups
Sonar Pro Search example: reading an image into JSON
The example is picked from this model's own capabilities. Drop in your key and it runs as is.
# tip: a data URI works too — base64 the file and prefix it with data:image/jpeg;base64,
curl https://api.uttapen.ir/v1/chat/completions \
-H "Authorization: Bearer sk-up-…" \
-H "Content-Type: application/json" \
-d '{
"model": "perplexity/sonar-pro-search",
"messages": [{
"role": "user",
"content": [
{"type": "text", "text": "Return only the invoice number and the total, as JSON."},
{"type": "image_url", "image_url": {"url": "https://example.com/factor.jpg"}}
]
}]
}'import base64, json
from openai import OpenAI
client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")
img = base64.b64encode(open("factor.jpg", "rb").read()).decode()
resp = client.chat.completions.create(
model="perplexity/sonar-pro-search",
messages=[{
"role": "user",
"content": [
{"type": "text", "text": "Return the invoice number, the date and the total as JSON."},
{"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img}"}},
],
}],
response_format={"type": "json_object"},
)
print(json.loads(resp.choices[0].message.content))import OpenAI from "openai";
import { readFileSync } from "node:fs";
const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });
const img = readFileSync("factor.jpg").toString("base64");
const resp = await client.chat.completions.create({
model: "perplexity/sonar-pro-search",
messages: [{
role: "user",
content: [
{ type: "text", text: "Return the invoice number, the date and the total as JSON." },
{ type: "image_url", image_url: { url: `data:image/jpeg;base64,${img}` } },
],
}],
response_format: { type: "json_object" },
});
console.log(JSON.parse(resp.choices[0].message.content));What is Sonar Pro Search good for?
Sonar Pro Search comes from Perplexity; in uttapen you reach it with the model id "perplexity/
Capabilities available on this id: it reads images directly, which makes it a real option for invoices, forms and screenshots; it returns schema-valid JSON through response_format, ready to hand to your code; it has a reasoning mode that pays off on multi-step problems, maths and debugging. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper. Keep in mind that reasoning tokens are output tokens and do appear on the bill.
For a back-of-envelope figure: about 8,102 toman per 1,000-word exchange (1,038,658 in, 5,193,290 out, per 1M tokens). You are always charged for the usage the request actually reported, never for the estimate, and a failed request costs nothing.
The closest alternative with the same capabilities from a different provider is GPT-5.4 Image 2: Sonar Pro Search works out about 23% cheaper, and its context window is smaller. Both run on the same key and the same code, so trying the other one is a single string change.
To make the figure concrete: 100,000 toman of credit buys roughly 12 thousand-word requests on Sonar Pro Search, and every 1,000 toman is about 123 words of round trip. A job with one million input tokens and one million output tokens comes to 6,231,948 toman in total. Filling this model's 200,000-token window costs 207,732 toman on the input side alone, which is the real reason to keep conversation history short.
Perplexity has 5 models in our catalogue; the cheapest is Sonar at 900 toman per thousand words and the dearest Sonar Pro Search at 8,102. Among the less common parameters it accepts presence_penalty, top_k, web_search_options — all through the standard request body. It does not support response_format, tool_choice, tools, seed, which most models here do, so test before switching if your code relies on them. By context size the nearest option from another provider is Claude Haiku 4.5 at 200,000 tokens.
What to use it for: work where the quality of the answer matters more than its cost, logic puzzles and code review, pulling text and fields out of images, extracting data against a fixed schema, analysing a long document or codebase in one request.
Exclusively available on this API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...
Three real jobs, priced on this model
Each figure is derived from the prices above and moves when they do.
| Job | Tokens | Cost |
|---|---|---|
| One chat turn with a medium history | 1,500 in + 400 out | 3,635 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 7,271 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 228,505 toman |
Frequently asked
- How do I call Sonar Pro Search from Iran?
- Sign up with your mobile number, top the wallet up in toman, create an API key, then in the official OpenAI SDK point base_url at https:/
/ api.uttapen.ir/ v1 and set model to "perplexity/ sonar-pro-search". Nothing else in your code changes. - What does Sonar Pro Search cost in toman?
- 1,038,658 toman per 1M input tokens and 5,193,290 toman per 1M output tokens; a 1,000-word request is around 8,102 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does Sonar Pro Search take?
- Up to 200,000 tokens per request, roughly 150k words. A single answer can reach 8,000 tokens.
- Does Sonar Pro Search support streaming and image input?
- Streaming (stream=true) works on every model here. Image input is accepted through image_url, as a data URI or a public URL. Structured output through response_format works too.