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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 Plus for code generation, tool use, and million-token coding workflows.
qwen3-coder-plus is a Code model from Alibaba Group (CN). HotON.ai tracks it at $1.00 per 1M input tokens and $5.00 per 1M output tokens, with a 1000K-token context window. Its composite efficiency score is 94/100 at an estimated $0.005 per successful task.
qwen3-coder-plus is tracked at $1.00 per 1M input tokens and $5.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $4.00 per 1M tokens. Figures are illustrative demo data.
Code generation, refactoring and review, and developer-tooling workloads with large context.
qwen3-coder-plus 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-plus is cheaper than 28% of models on input price and ranks #46 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-plus (Alibaba Group): $1.00/1M input, $5.00/1M output, as of 2026-05-11. https://hoton.ai/en/models/alibaba-qwen3-coder-plusPricing 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.