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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
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version....
qwen3-max is a Text model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.78 per 1M input tokens and $3.90 per 1M output tokens, with a 262K-token context window. Its composite efficiency score is 89/100 at an estimated $0.004 per successful task.
qwen3-max is tracked at $0.78 per 1M input tokens and $3.90 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $3.12 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
qwen3-max supports up to a 262K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, qwen3-max is cheaper than 37% of models on input price and ranks #285 of 537 by overall efficiency.
Yes — minimax-m2 is a lower-cost option at $1.00 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — qwen3-max (Alibaba Cloud · Qwen): $0.78/1M input, $3.90/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-maxPricing 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.