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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
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, a...
qwen3-235b-a22b is a Text model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.46 per 1M input tokens and $1.82 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.002 per successful task.
qwen3-235b-a22b is tracked at $0.46 per 1M input tokens and $1.82 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.48 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.
qwen3-235b-a22b supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, qwen3-235b-a22b is cheaper than 45% of models on input price and ranks #218 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 — qwen3-235b-a22b (Alibaba Cloud · Qwen): $0.46/1M input, $1.82/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-235b-a22bPricing 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.