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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: perplexity_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
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...
sonar is a Multimodal model from Perplexity (US). HotON.ai tracks it at $1.00 per 1M input tokens and $1.00 per 1M output tokens, with a 127K-token context window. Its composite efficiency score is 89/100 at an estimated $0.003 per successful task.
sonar is tracked at $1.00 per 1M input tokens and $1.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.00 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
sonar supports up to a 127K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, sonar is cheaper than 28% of models on input price and ranks #148 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — sonar (Perplexity): $1.00/1M input, $1.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/perplexity-sonarPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.