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Real human-preference Elo from LMArena blind head-to-head votes. Higher is better; — means not yet ranked in that arena. This is measured, not our estimate.
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
Mixed text, image, audio and document workloads that benefit from one model across modalities.
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. I...
qwen3.5-397b-a17b is a Multimodal model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.39 per 1M input tokens and $2.34 per 1M output tokens, with a 262K-token context window. Its composite efficiency score is 89/100 at an estimated $0.002 per successful task.
qwen3.5-397b-a17b is tracked at $0.39 per 1M input tokens and $2.34 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.85 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
qwen3.5-397b-a17b 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, qwen3.5-397b-a17b is cheaper than 49% of models on input price and ranks #164 of 535 by overall efficiency.
Yes — gemini-3.1-flash-lite-preview is a lower-cost option at $1.50 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 — qwen3.5-397b-a17b (Alibaba Cloud · Qwen): $0.39/1M input, $2.34/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-5-397b-a17bPricing 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.