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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 2026-04-28 · Source: legacy_model_catalog
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
DeepSeek R1 Distill Qwen 32B is a distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. It outperforms OpenAI's o1-mini across various benchmarks, achieving new...
deepseek-r1-distill-qwen-32b is a Reasoning model from DeepSeek (CN). HotON.ai tracks it at $0.29 per 1M input tokens and $0.29 per 1M output tokens, with a 33K-token context window. Its composite efficiency score is 88/100 at an estimated $0.001 per successful task.
deepseek-r1-distill-qwen-32b is tracked at $0.29 per 1M input tokens and $0.29 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.29 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-r1-distill-qwen-32b supports up to a 33K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, deepseek-r1-distill-qwen-32b is cheaper than 55% of models on input price and ranks #329 of 535 by overall efficiency.
Yes — qwen3-30b-a3b-thinking-2507 is a lower-cost option at $0.40 per 1M output tokens, while still covering similar Reasoning use cases. Compare them side by side on HotON.ai.
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HotON.ai — deepseek-r1-distill-qwen-32b (DeepSeek): $0.29/1M input, $0.29/1M output, as of 2026-04-28. https://hoton.ai/en/models/deepseek-deepseek-r1-distill-qwen-32bPricing 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.