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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
Code generation, refactoring and review, and developer-tooling workloads with large context.
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning ov...
qwen3-coder is a Code model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.22 per 1M input tokens and $1.00 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-coder is tracked at $0.22 per 1M input tokens and $1.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.81 per 1M tokens. Figures are illustrative demo data.
Code generation, refactoring and review, and developer-tooling workloads with large context.
qwen3-coder 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-coder is cheaper than 62% of models on input price and ranks #90 of 537 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 (Alibaba Cloud · Qwen): $0.22/1M input, $1.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-coderPricing 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.