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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.
Note: Sonar Pro pricing includes Perplexity search pricing. See details here For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...
sonar-pro 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 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 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 is cheaper than 9% of models on input price and ranks #491 of 535 by overall efficiency.
Yes — grok-4-fast is a lower-cost option at $0.50 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 (Perplexity): $3.00/1M input, $15.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/perplexity-sonar-proPricing 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.