sonar-reasoning

Sonar Reasoning is a high-end reasoning model series launched by Perplexity AI, with its core positioning as a production-grade AI reasoning engine that is "auditable, structured, and real-time networked", specifically designed for high-trust and programmatic integration scenarios.

• Explicit Thought Chain Output: Automatically outputs the step-by-step reasoning process wrapped in <think>...</think> before generating an answer, with transparent logic and manual reviewability
• Machine-readable JSON Results: Immediately following the thinking block, provides strictly formatted JSON containing fields such as answers, citation sources (URL + snippet), and Confidence Level
• Real-time Network Enhancement: Automatically retrieves the latest web page information with each call, ensuring that answers are based on current facts in 2025 and significantly reducing the risk of hallucination
• Multilingual Support: Covers mainstream languages such as Chinese, English, Japanese, and German, with natural and culturally appropriate output
• Enterprise-level API Design: Supports streaming responses, custom search domains, and Schema constraints, and is compatible with agents, automated workflows, and low-code platforms

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Core Capabilities

🧠 Interpretable Reasoning: Every step from the question to the conclusion is clearly visible, meeting the auditing requirements of high-compliance scenarios such as finance, law, and healthcare

🌐 Fact-driven Generation: All claims are supported by web evidence, and citation links can be clicked for verification, achieving "AI does not fabricate"

🧩 Seamless System Integration: Structured JSON output can directly drive database updates, front-end rendering, or tool calls without post-processing and parsing

⚡ Second-level Research Closed-loop: From searching to returning a structured report with citations, the entire process is automated and low-latency