Perplexity: Sonar

Image input Text input Text output
Author's Description

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features optimized for speed.

Key Specifications
Cost
$$$$
Context
127K
Released
Jan 27, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Top P Frequency Penalty Max Tokens Presence Penalty Temperature
Performance Summary

Perplexity: Sonar, created on January 27, 2025, is positioned as a lightweight, affordable, and fast AI model designed for quick question-and-answer integration, now featuring citations and customizable sources. In terms of speed, Sonar demonstrates competitive response times, performing among the faster models with a 46th percentile ranking across six benchmarks. Its pricing is moderate, ranking at the 36th percentile, indicating it offers reasonable cost-effectiveness. A standout feature is its exceptional reliability, achieving a perfect 100th percentile ranking, meaning it consistently provides usable responses with minimal technical failures. Across benchmark categories, Sonar exhibits varied performance. It shows strong capabilities in Coding (82.0% accuracy) and Ethics (99.0% accuracy), with its Ethics performance being particularly robust. Its General Knowledge is a significant strength, achieving 100.0% accuracy, making it the most accurate model at its price point and among models of similar speed. However, its performance in Instruction Following (32.0% accuracy) and Email Classification (92.0% accuracy, but only 21st percentile) indicates areas for improvement in precision for complex directives and classification tasks. Reasoning accuracy is moderate at 58.0%. Overall, Sonar's key strengths lie in its high reliability, strong general knowledge, and competitive speed, making it a viable option for applications prioritizing consistent uptime and factual recall, despite some limitations in complex instruction adherence and classification accuracy.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $1
Completion $1
Request $0.005 per request

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Perplexity
Perplexity | perplexity/sonar 127K $1 / 1M tokens $1 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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