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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 2026-05-11 · Source: alibaba_reference_catalog
Code generation, refactoring and review, and developer-tooling workloads with large context.
Alibaba Cloud Model Studio lists Qwen3 Coder Flash as a lower-latency coder route for code and tool-use workloads.
qwen3-coder-flash is a Code model from Alibaba Group (CN). HotON.ai tracks it at $0.30 per 1M input tokens and $1.50 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-coder-flash is tracked at $0.30 per 1M input tokens and $1.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.20 per 1M tokens. Figures are illustrative demo data.
Code generation, refactoring and review, and developer-tooling workloads with large context.
qwen3-coder-flash 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-coder-flash is cheaper than 51% of models on input price and ranks #38 of 535 by overall efficiency.
Yes — qwen3-coder-flash is a lower-cost option at $0.98 per 1M output tokens, while still covering similar Code use cases. Compare them side by side on HotON.ai.
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HotON.ai — qwen3-coder-flash (Alibaba Group): $0.30/1M input, $1.50/1M output, as of 2026-05-11. https://hoton.ai/en/models/alibaba-qwen3-coder-flashPricing 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.