Get an email when this model's blended price drops. No account needed.
One email per drop. Unsubscribe anytime.
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 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a v...
qwen3.5-plus-02-15 is a Multimodal model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.26 per 1M input tokens and $1.56 per 1M output tokens, with a 1000K-token context window. Its composite efficiency score is 95/100 at an estimated $0.001 per successful task.
qwen3.5-plus-02-15 is tracked at $0.26 per 1M input tokens and $1.56 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.23 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
qwen3.5-plus-02-15 supports up to a 1000K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, qwen3.5-plus-02-15 is cheaper than 57% of models on input price and ranks #40 of 535 by overall efficiency.
Yes — grok-4-fast is a lower-cost option at $0.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — qwen3.5-plus-02-15 (Alibaba Cloud · Qwen): $0.26/1M input, $1.56/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-5-plus-02-15Pricing 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.