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中文(ZH) 国产 Coding 争霸赛:MiniMax 爆冷登顶,DeepSeek 性价比称王

Chinese AI models tested on coding tasks: MiniMax and Kimi lead

A comparative analysis of five Chinese AI models—MiniMax M3, Kimi K2.6, DeepSeek V4 Pro, Qwen 3.7 Max, and GLM 5.1—evaluated on real-world engineering tasks revealed significant differences in their coding capabilities. MiniMax M3 and Kimi K2.6 tied for first place, with MiniMax excelling in system stability and availability, and Kimi praised for its maintainability and documentation. DeepSeek V4 Pro demonstrated strong architectural design but faltered in code correctness, while Qwen 3.7 Max provided a runnable solution with good engineering considerations but lacked maintainability, and GLM 5.1 showed strong design but had security and concurrency flaws. AI

IMPACT Highlights the varying strengths and weaknesses of leading Chinese AI models in practical coding scenarios, informing developers on model selection for engineering tasks.

RANK_REASON Comparative benchmark of AI models on coding tasks. [lever_c_demoted from research: ic=1 ai=1.0]

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Chinese AI models tested on coding tasks: MiniMax and Kimi lead

COVERAGE [1]

  1. 雷峰网 (Leiphone) TIER_1 中文(ZH) ·

    Domestic Coding Championship: MiniMax Unexpectedly Takes the Crown, DeepSeek Wins on Cost-Effectiveness

    <section style="text-align: left; margin: 0px 16px; line-height: 1.75em; display: block;"><span style="color: #4499E7; font-weight: bold; font-family: Arial, Helvetica, sans-serif; font-size: 15px; letter-spacing: 0.5px; text-align: justify;">雷峰网讯 你很难把 Coding 仅仅视为大模型的诸多能力维度之一。</s…