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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's Enhanced Large Visual Language Model. Significantly upgraded for detailed recognition capabilities and text recognition abilities, supporting ultra-high pixel resolutions up to millions of pixels and extreme as...
qwen-vl-plus is a Multimodal model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.14 per 1M input tokens and $0.41 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
qwen-vl-plus is tracked at $0.14 per 1M input tokens and $0.41 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.34 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
qwen-vl-plus 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-plus is cheaper than 74% of models on input price and ranks #271 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-plus (Alibaba Cloud · Qwen): $0.14/1M input, $0.41/1M output, as of 2026-05-10. https://hoton.ai/en/models/qwen-qwen-vl-plusPricing 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.