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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
Mixed text, image, audio and document workloads that benefit from one model across modalities.
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency...
qwen3.5-35b-a3b is a Multimodal model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.16 per 1M input tokens and $1.30 per 1M output tokens, with a 262K-token context window. Its composite efficiency score is 90/100 at an estimated $0.001 per successful task.
qwen3.5-35b-a3b is tracked at $0.16 per 1M input tokens and $1.30 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.02 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
qwen3.5-35b-a3b 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, qwen3.5-35b-a3b is cheaper than 69% of models on input price and ranks #105 of 535 by overall efficiency.
Yes — gemini-2.0-flash-001 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 — qwen3.5-35b-a3b (Alibaba Cloud · Qwen): $0.16/1M input, $1.30/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-5-35b-a3bPricing 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.