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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 35B A3B is a newer Qwen3.6 reasoning route tracked for supplier catalog and exact model-id coverage.
qwen3.6-35b-a3b is a Text model from Qwen (CN). HotON.ai tracks it at $0.25 per 1M input tokens and $1.50 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.
qwen3.6-35b-a3b is tracked at $0.25 per 1M input tokens and $1.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.19 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.
qwen3.6-35b-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, qwen3.6-35b-a3b is cheaper than 58% of models on input price and ranks #109 of 535 by overall efficiency.
Yes — minimax-m2.1 is a lower-cost option at $0.95 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 — qwen3.6-35b-a3b (Qwen): $0.25/1M input, $1.50/1M output. https://hoton.ai/en/models/qwen-qwen3-6-35b-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.