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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: qwen_model_studio_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Qwen VL Max is a visual understanding model with 7500 tokens context length. It excels in delivering optimal performance for a broader spectrum of complex tasks.
qwen-vl-max is a Multimodal model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.52 per 1M input tokens and $2.08 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 88/100 at an estimated $0.002 per successful task.
qwen-vl-max is tracked at $0.52 per 1M input tokens and $2.08 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.69 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
qwen-vl-max 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, qwen-vl-max is cheaper than 44% of models on input price and ranks #307 of 537 by overall efficiency.
Yes — gemini-2.5-flash-lite-preview-09-2025 is a lower-cost option at $0.40 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — qwen-vl-max (Alibaba Cloud · Qwen): $0.52/1M input, $2.08/1M output, as of 2026-05-10. https://hoton.ai/en/models/qwen-qwen-vl-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.