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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.
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction fo...
qwen3-30b-a3b-instruct-2507 is a Text model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.09 per 1M input tokens and $0.30 per 1M output tokens, with a 262K-token context window. Its composite efficiency score is 90/100 at an estimated $0.000 per successful task.
qwen3-30b-a3b-instruct-2507 is tracked at $0.09 per 1M input tokens and $0.30 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.25 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.
qwen3-30b-a3b-instruct-2507 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, qwen3-30b-a3b-instruct-2507 is cheaper than 84% of models on input price and ranks #75 of 535 by overall efficiency.
Yes — ling-2.6-flash is a lower-cost option at $0.24 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 — qwen3-30b-a3b-instruct-2507 (Alibaba Cloud · Qwen): $0.09/1M input, $0.30/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-30b-a3b-instruct-2507Pricing 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.