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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: deepseek_official_pricing
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
DeepSeek Reasoner is the DeepSeek reasoning endpoint for complex analysis and code tasks.
deepseek-reasoner is a Reasoning model from DeepSeek (CN). HotON.ai tracks it at $0.55 per 1M input tokens and $2.19 per 1M output tokens, with a 66K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
deepseek-reasoner is tracked at $0.55 per 1M input tokens and $2.19 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.78 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.
deepseek-reasoner supports up to a 66K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, deepseek-reasoner is cheaper than 43% of models on input price and ranks #360 of 537 by overall efficiency.
Yes — grok-4-fast-reasoning is a lower-cost option at $0.50 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 — deepseek-reasoner (DeepSeek): $0.55/1M input, $2.19/1M output, as of 2026-05-10. https://hoton.ai/en/models/deepseek-deepseek-reasonerPricing 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.