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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
Source: litellm
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Qwen3.6 27B is a mid-tier Qwen route retained so the supplier catalog can match the newer Qwen3.6 official naming line.
qwen3.6-27b is a Text model from Qwen (CN). HotON.ai tracks it at $0.15 per 1M input tokens and $0.50 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.
qwen3.6-27b is tracked at $0.15 per 1M input tokens and $0.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.41 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
qwen3.6-27b 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, qwen3.6-27b is cheaper than 70% of models on input price and ranks #66 of 535 by overall efficiency.
Yes — deepseek/deepseek-v4-flash is a lower-cost option at $0.28 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — qwen3.6-27b (Qwen): $0.15/1M input, $0.50/1M output. https://hoton.ai/en/models/qwen-qwen3-6-27bPricing 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.