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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
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
Sonar Reasoning is retained as a deprecated Perplexity reasoning route so older supplier rows can migrate cleanly to Sonar Reasoning Pro.
sonar-reasoning is a Reasoning model from Perplexity (US). HotON.ai tracks it at $1.00 per 1M input tokens and $5.00 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 87/100 at an estimated $0.005 per successful task.
sonar-reasoning is tracked at $1.00 per 1M input tokens and $5.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $4.00 per 1M tokens. Figures are illustrative demo data.
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
sonar-reasoning supports up to a 128K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, sonar-reasoning is cheaper than 28% of models on input price and ranks #429 of 535 by overall efficiency.
Yes — qwen-plus-2025-07-28:thinking is a lower-cost option at $0.78 per 1M output tokens, while still covering similar Reasoning 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-reasoning (Perplexity): $1.00/1M input, $5.00/1M output, as of 2026-05-10. https://hoton.ai/en/models/perplexity-sonar-reasoningPricing 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.