Search-grounded model with double the citations and a larger context window, tuned for complex queries needing in-depth, nuanced answers.
PerplexityResearch & Search200K contextProprietary EndpointSearch-grounded model with double the citations and a larger context window, tuned for complex queries needing in-depth, nuanced answers.
perplexity-sonar-proPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/messagesPOST /v1/searchLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Perplexity Sonar Pro serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id perplexity-sonar-pro. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "perplexity-sonar-pro",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="perplexity-sonar-pro",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the Perplexity Sonar Pro API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| temperature | number | 0.2 | 0 to 2 | Sampling temperature. 0 = deterministic, 2 = maximum randomness. |
| top_p | number | 0.9 | 0 to 1 | Nucleus sampling probability mass. Lower = more focused. |
| max_tokens | number | 4096 | 1 to 32768 | Maximum tokens in the response. |
| search_context_size | enum | medium | low, medium, high | Higher context gives better answers but increases the base fee per request. |
| search_mode | enum | default | default, academic, sec | Filter search results by source type. Academic = scholarly papers, SEC = financial filings. |
| search_domain_filter | string | - | - | Comma-separated domains. Prefix with '-' to exclude. Max 20. |
| search_language_filter | string | - | - | Comma-separated ISO 639-1 codes (2 letters). Max 10. |
| search_after_date | string | - | - | Use YYYY-MM-DD. Only include sources after this date. |
| search_before_date | string | - | - | Use YYYY-MM-DD. Only include sources before this date. |
| search_recency_filter | enum | none | none, hour, day, week, month, year | Relative time filter. Cannot be combined with specific dates. |
| last_updated_after_filter | string | - | - | Use YYYY-MM-DD. Only include sources after this date. |
| last_updated_before_filter | string | - | - | Use YYYY-MM-DD. Only include sources before this date. |
| country | string | - | - | Two-letter ISO 3166-1 code (e.g. US, GB) for biasing results to a country. |
| region | string | - | - | State or province name for location bias. |
Double the citations and larger context window vs Sonar. Max output 8K tokens.
On EmpirioLabs, Perplexity Sonar Pro is billed pay as you go: Input $7.20 per 1M prompt tokens; Output $36.00 per 1M generated tokens; Base Fee (Low Context) $0.014 per request. The live rate card on this page always matches what the API charges.
Perplexity Sonar Pro supports a 200K-token context window.
Yes. Perplexity Sonar Pro serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to perplexity-sonar-pro.
Yes. The EmpirioLabs playground runs Perplexity Sonar Pro in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Explore our models, or contact us about business inquiries, custom deployments, or anything else.
