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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 2026-05-11 · Source: alibaba_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Alibaba Cloud Model Studio lists Qwen3 Max as a flagship model for complex tasks with tool-calling and long-context support.
qwen3-max is a Text model from Alibaba Group (CN). HotON.ai tracks it at $1.20 per 1M input tokens and $6.00 per 1M output tokens, with a 262K-token context window. Its composite efficiency score is 88/100 at an estimated $0.005 per successful task.
qwen3-max is tracked at $1.20 per 1M input tokens and $6.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $4.80 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 25% of models on input price and ranks #399 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 Group): $1.20/1M input, $6.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/alibaba-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.