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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.
Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based...
sonar-pro-search is a Multimodal model from Perplexity (US). HotON.ai tracks it at $3.00 per 1M input tokens and $15.00 per 1M output tokens, with a 200K-token context window. Its composite efficiency score is 83/100 at an estimated $0.014 per successful task.
sonar-pro-search is tracked at $3.00 per 1M input tokens and $15.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $12.00 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
sonar-pro-search supports up to a 200K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, sonar-pro-search is cheaper than 9% of models on input price and ranks #489 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.
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HotON.ai — sonar-pro-search (Perplexity): $3.00/1M input, $15.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/perplexity-sonar-pro-searchPricing 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.