> ## Documentation Index > Fetch the complete documentation index at: https://docs.perplexity.ai/llms.txt > Use this file to discover all available pages before exploring further. # Sonar Pro > Learn about Sonar Pro for advanced search, including pricing, API usage, and Pro Search support. [Models](https://docs.perplexity.ai/docs/legacy/sonar/models) # Sonar Pro Advanced search with enhanced search results > [!WARNING] > > Sonar Chat Completions has been replaced by the [Agent API](https://docs.perplexity.ai/docs/agent-api/quickstart.md). This page is kept for customers with continued Sonar access. Migration guide [here](https://docs.perplexity.ai/docs/agent-api/migrate-from-sonar/overview.md). An advanced search model designed for complex queries, delivering deeper content understanding with enhanced search result accuracy and 2x more search results than standard Sonar. Use [Pro Search](https://docs.perplexity.ai/docs/legacy/sonar/pro-search/quickstart) for enhanced search results with reasoning. Pricing [See the full pricing and search context size guide.](https://docs.perplexity.ai/docs/getting-started/pricing.md) ### Input Tokens \$3 Per 1M Tokens ### Output Tokens \$15 Per 1M Tokens ### Price Per 1K Requests \$14 \$10 \$6 High Medium Low ## Features ![Arrow](https://mintlify-assets.b-cdn.net/perplexity/arrow.svg) ### Non-reasoning model ![Search](https://mintlify-assets.b-cdn.net/perplexity/searchicon.svg) ### Optimized for complex, multi-step Q\&A tasks ![Length](https://mintlify-assets.b-cdn.net/perplexity/lengthicon.svg) ### 200K context length ![Speed](https://mintlify-assets.b-cdn.net/perplexity/speedicon.svg) ### Advanced information retrieval architecture ![Citation](https://mintlify-assets.b-cdn.net/perplexity/citationicon.svg) ### 2x more search results than standard Sonar ![Lock](https://mintlify-assets.b-cdn.net/perplexity/lockicon.svg) ### No training on customer data ## Real World Use Cases ![Research](https://mintlify-assets.b-cdn.net/perplexity/glasses.svg) ### Complex research questions requiring depth ![Analysis](https://mintlify-assets.b-cdn.net/perplexity/search.svg) ### Comparative analysis across multiple sources ![Synthesis](https://mintlify-assets.b-cdn.net/perplexity/eye.svg) ### Information synthesis and detailed reporting ```bash cURL theme={null} curl --request POST \ --url https://api.perplexity.ai/v1/sonar \ --header "Authorization: Bearer " \ --header "Content-Type: application/json" \ --data '{ "model": "sonar-pro", "messages": [ { "role": "user", "content": "Analyze the competitive positioning of Perplexity in the AI search market and evaluate how Comet compares to similar offerings from other companies." } ] }' | jq ``` ```python python theme={null} import requests url = "https://api.perplexity.ai/v1/sonar" payload = { "model": "sonar-pro", "messages": [ {"role": "user", "content": "Analyze the competitive positioning of Perplexity in the AI search market and evaluate how Comet compares to similar offerings from other companies."} ] } headers = { "Authorization": "Bearer ", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` **Sample Response Metadata** ```json Success Response expandable wrap theme={null} { "id": "12572668-b12a-4ce5-a697-57e22816a2ce", "model": "sonar-pro", "created": 1756486047, "usage": { "prompt_tokens": 26, "completion_tokens": 832, "total_tokens": 858, "search_context_size": "low", "cost": { "input_tokens_cost": 0.0, "output_tokens_cost": 0.012, "request_cost": 0.006, "total_cost": 0.019 } }, "citations": [ "https://explodingtopics.com/blog/perplexity-ai-stats", "https://opentools.ai/news/perplexity-ceo-challenges-googles-ai-strategy-in-the-browser-wars", "https://taptwicedigital.com/stats/perplexity", "https://www.leanware.co/insights/comet-perplexity-everything-you-need-to-know", "https://www.index.dev/blog/perplexity-statistics" ], "search_results": [ { "title": "The Latest Perplexity AI Stats (2025)", "url": "https://explodingtopics.com/blog/perplexity-ai-stats", "date": "2025-06-23", "last_updated": "2025-08-29", "snippet": "As of 2025, the AI space is valued at approximately $600 billion, with projections to increase by 500% over the next 5 years." }, { "title": "Perplexity CEO Challenges Google's AI Strategy in the ...", "url": "https://opentools.ai/news/perplexity-ceo-challenges-googles-ai-strategy-in-the-browser-wars", "date": "2025-07-17", "last_updated": "2025-07-17", "snippet": "For example, Perplexity's AI-driven browser, Comet, represents a direct challenge to Google's traditional search engine model by prioritizing ..." }, { "title": "7 Perplexity AI Statistics (2025): Revenue, Valuation, ...", "url": "https://taptwicedigital.com/stats/perplexity", "date": "2025-04-19", "last_updated": "2025-08-29", "snippet": "Perplexity AI holds a 6.2% market share in the AI search market. Perplexity AI is valued at $18 billion as of March 2025. Perplexity AI has ..." }, { "title": "Comet Perplexity: Everything You Need to Know - Leanware", "url": "https://www.leanware.co/insights/comet-perplexity-everything-you-need-to-know", "date": "2025-07-25", "last_updated": "2025-08-28", "snippet": "Learn what Perplexity Comet is, how it works, and why it's changing the AI landscape, from real-world uses and tech insights to pricing, ..." }, { "title": "50+ Perplexity AI Stats to Know in 2025", "url": "https://www.index.dev/blog/perplexity-statistics", "date": "2025-08-01", "last_updated": null, "snippet": "As of May 2025, Perplexity AI processes over 780 million monthly search queries, up from just 230 million in mid-2024. That's more than 30 ..." } ], "object": "chat.completion", "choices": [ { "index": 0, "finish_reason": "stop", "message": { "role": "assistant", "content": "Perplexity occupies a rapidly expanding and influential position in the AI search market, characterized by robust user growth, significant market share, and disruptive innovation through products like the Comet browser[1][3][5]. Comet, Perplexity's AI-driven browser, stands out by favoring a user-centric, agentic browsing experience, in marked contrast to traditional browsers and search tools built around advertising ecosystems[2][4].\n\n**Competitive Positioning of Perplexity:**\n- **Market Share & Growth**: Perplexity has achieved a 6.2% market share in AI search, with an $18 billion valuation as of March 2025[3]. The platform saw visits surge from 52.4 million in March 2024 to 159.7 million in March 2025—a nearly 192% increase in monthly visitors—and now processes over 780 million monthly queries[1][5].\n- **User Base**: With approximately 15 million active monthly users, Perplexity is among the most adopted AI search platforms[1].\n- **Strategic Focus**: Its strategy centers on synthesizing information from multiple sources, rather than relying on a single proprietary index or algorithm[3].\n- **Ecosystem Independence**: By launching its own browser, Perplexity extends beyond plug-ins and integrations, directly challenging the dominance of Google (Chrome/Search), Microsoft (Edge/Bing), and Apple (Safari)[4].\n\n**Comet's Distinct Approach Compared to Competitors:**\n\n| Feature | Comet (Perplexity) | Google Chrome/Search | Microsoft Edge/Bing | Others (e.g., Safari, Firefox) |\n|-------------------------------|------------------------------------------|--------------------------|------------------------|----------------------------------|\n| **Business Model** | Subscription-based, low ad reliance | Ad-driven | Mixed (ads + services) | Mainly traditional browsing |\n| **AI Integration** | Deeply agentic, task automation | Incipient (AI summaries)| Embedded search AI | Limited or add-on only |\n| **User Experience Focus** | Automation, personalization | Traffic/ads optimization| Integration w/ Windows | Privacy, open-source emphasis |\n| **Ecosystem Independence** | Fully standalone browser; own assistant | Chrome Store dependence | Tied to Windows | Add-ons, less AI-focused |\n\n**Key Innovations of Comet vs. Competitors:**\n- **Agentic Browsing**: Comet enables autonomous execution of user intent—tasks beyond search, such as form completion or navigation—leveraging AI agents to streamline workflows[2][4].\n- **Contextual Awareness**: Maintains session and browsing context for more relevant, personalized assistance[4].\n- **Cross-Tab Functionality**: Performs tasks across all tabs and logged-in sites, surpassing limitations of plug-ins or browser extensions[4].\n- **User-Centric Model**: Moves away from ad-driven monetization, focusing on delivering value through direct service and subscription[2].\n\n**Competitive Landscape and Impact:**\n- **Direct Challenge to Market Leaders**: Comet attacks the core of Google's and Microsoft's value proposition, offering a radically different vision centered on user benefit rather than maximizing ad engagement[2][4].\n- **Potential Market Shift**: The shift toward premium, AI-enhanced browsing reflects growing consumer willingness to pay for advanced features, potentially leading to reduced reliance on advertising industry-wide[2].\n- **Risk and Opportunities**: While incumbents possess vast resources, Perplexity's rapid innovation and its Comet ecosystem present a legitimate threat to traditional models—if it maintains reliability and continues scaling its offerings[3][4].\n\n**Summary**\nPerplexity's Comet browser redefines competition in the AI search and browsing space by prioritizing intelligence, agentic workflows, and user-centric design over the prevailing ad-driven model. Its suite of features and rapidly growing user base set it apart from legacy offerings from Google, Microsoft, Apple, and Mozilla, positioning Perplexity as a leader in the evolving landscape of AI-powered digital information services[1][2][3][4][5]." }, "delta": { "role": "assistant", "content": "" } } ] } ``` > [accordion] Cost Breakdown for Sample Request > > > [!NOTE] > > > > **Token Usage** > > > > * Prompt Tokens: 26 > > * Completion Tokens: 832 > > * Search Context Size: Low > > **1. Calculate Input Tokens Cost** > > 26 tokens ÷ 1,000,000 × \$3 = \$0.000078 > > **2. Calculate Output Tokens Cost** > > 832 tokens ÷ 1,000,000 × \$15 = \$0.01248 > > **3. Calculate Search Context Cost** > > 1 request × \$6 ÷ 1,000 = \$0.006 > > **4. Calculate Total Cost** > > \$0.000078 + \$0.01248 + \$0.006 = \$0.018558 > > > [!TIP] > > > > **Total cost for this request: \$0.018558**