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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.
Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debuggin...
qwen3-next-80b-a3b-thinking is a Reasoning model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.10 per 1M input tokens and $0.78 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
qwen3-next-80b-a3b-thinking is tracked at $0.10 per 1M input tokens and $0.78 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.61 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.
qwen3-next-80b-a3b-thinking supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, qwen3-next-80b-a3b-thinking is cheaper than 79% of models on input price and ranks #242 of 535 by overall efficiency.
Yes — grok-4-1-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.
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HotON.ai — qwen3-next-80b-a3b-thinking (Alibaba Cloud · Qwen): $0.10/1M input, $0.78/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-next-80b-a3b-thinkingPricing 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.