Perplexity Sonar Pro
Perplexity's premium web-grounded search model with multi-step reasoning over live sources.
Perplexity Sonar Pro is text & chat AI model from Custom, priced at €3.00 per 1M input tokens with a 200K tokens context window.
0.7
Pricing
API Integration
Use our OpenAI-compatible API to integrate Perplexity Sonar Pro into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
// Simple — just pass a string
const reply = await rw.run("sonar-pro", "Hello! What can you do?");
console.log(reply);
// With message history
const reply2 = await rw.run("sonar-pro", [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);
// Full response with usage info
const res = await rw.chat("sonar-pro", [
{ role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);Deep dive — Perplexity AI's Perplexity Sonar Pro
Perplexity AI was founded in August 2022 by Aravind Srinivas (CEO, ex-OpenAI and DeepMind/Google Brain), Denis Yarats (CTO, ex-Meta AI), Andy Konwinski (co-founder of Databricks) and Johnny Ho. The company built an answer engine that combines live web search with LLMs to return cited answers, positioning itself as a search alternative to Google. Perplexity rapidly raised over $500M from IVP, NEA, NVIDIA, Jeff Bezos, Susan Wojcicki and others, reaching a $9B valuation in late 2024 and a higher valuation in 2025. The Sonar model family debuted in late 2024 as Perplexity's in-house RAG-tuned models, with Sonar as the fast default tier and Sonar Pro as the higher-capability variant for advanced research workloads. Sonar Pro pairs deeper search (more queries per request, more sources synthesised) with a stronger underlying LLM, available via the Perplexity API and the Perplexity Pro consumer tier. The company also partners with Apple Intelligence and several US publishers for revenue-sharing on cited content. Beyond Sonar, Perplexity ships Perplexity Pages, Spaces and Discover surfaces, and runs ad-free Pro and Enterprise subscriptions.
Visit Perplexity AI →Perplexity Sonar Pro is the high-capability tier of Perplexity's in-house Sonar family, launched alongside the Sonar API in January 2025. It is a Llama-3.x-derived large model fine-tuned by Perplexity for deep retrieval-augmented answering. Compared to base Sonar, Sonar Pro runs a more aggressive retrieval pipeline: it issues multiple parallel search queries per request, retrieves more documents (up to a few dozen sources), performs intermediate ranking and synthesis steps, and produces longer, more structured answers with denser inline citations. The underlying LLM is a larger and more capable checkpoint than base Sonar, trained with extended supervised fine-tuning on Perplexity's curated multi-hop research answers and preference optimisation against expert-rated grounding quality. Sonar Pro supports a 200K context window, structured output, and exposes additional response fields including a list of all sources visited and the search queries used. The API is OpenAI-compatible, making it a drop-in replacement for stacks that need higher answer quality and citation coverage. Pricing is roughly $5 per 1,000 search-augmented requests plus token costs, positioning it as a premium tier for research and enterprise use cases.
- Parameters
- Undisclosed (Llama-3.x-derived large)
- Context
- 200K tokens
- Deeper retrieval pipeline: multiple parallel searches and intermediate ranking
- 200K context window
- Denser inline citations and longer structured answers
- Exposes search queries and visited sources in API response
- OpenAI-compatible chat completions API
- Larger underlying LLM than base Sonar
- Suitable for multi-hop research questions
- Structured output (JSON schema) supported
- Available in Perplexity API and Perplexity Pro consumer tier
- Higher accuracy than base Sonar on long-form factual queries
- Best for: research workflows, financial and policy briefings, multi-hop fact-finding, premium chat experiences.
Built on a Llama-3.x-derived large base, fine-tuned on Perplexity's curated multi-hop research answers, expert-rated grounding preference data and synthetic deep-retrieval QA pairs. At inference time, augmented with multi-query retrieval from Perplexity's in-house search index.
License: Proprietary commercial license via the Perplexity API and Pro/Enterprise subscriptions. Weights not released.
Known limitations
- Higher cost than base Sonar
- Quality dependent on Perplexity's retrieval index
- Closed weights; no on-prem option
- Citations occasionally over-cite or mismatch the claim
- Latency higher than base Sonar due to multi-query search
Frequently asked questions
Related Models
View all Text & ChatClaude Opus 4
Anthropic's most powerful model. Exceptional at complex analysis, agentic tasks, and extended reasoning.
Claude Sonnet 4
Anthropic's most capable model. Excellent for complex analysis, coding, math, and creative writing.
DeepSeek V3.1
DeepSeek's refreshed V3.1 release. 671B MoE / 37B active. Tops open-weights leaderboards on coding and reasoning.
DeepSeek V4 Pro
DeepSeek's April 2026 flagship. 1.6T MoE / 49B active params, 1M context, rivals top closed-source models on STEM and coding at a fraction of the price.
Start using Perplexity Sonar Pro today
Get started with free credits. No credit card required. Access Perplexity Sonar Pro and 100+ other models through a single API.