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English(EN) Microsoft MAI-Code-1-Flash: Adaptive Solution-Length Control

Microsoft 发布 MAI-Code-1-Flash,具备自适应推理控制

Microsoft 推出了其首批自研前沿模型 MAI-Thinking-1MAI-Code-1-Flash。代码模型 MAI-Code-1-Flash 具备自适应解题长度控制功能,能够根据任务难度动态调整使用的推理 token 数量。据报道,这项创新带来了显著的效率提升,在 SWE-Bench Pro 等基准测试中,与 Claude Haiku 4.5 等模型相比,使用更少的 token 实现了相当或更好的性能。 AI

影响 该模型的自适应推理能力有望显著降低复杂编码任务的推理成本和延迟。

排序理由 Microsoft 宣布推出其首批自研前沿模型 MAI-Thinking-1 和 MAI-Code-1-Flash,包括具体的性能指标和功能。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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Microsoft 发布 MAI-Code-1-Flash,具备自适应推理控制

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Microsoft 宣布推出其首批自研前沿模型 MAI-Thinking-1 和 MAI-Code-1-Flash,包括具体的性能指标和功能。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · pueding ·

    Microsoft MAI-Code-1-Flash:自适应解决方案长度控制

    <p><strong>What:</strong> Microsoft's first in-house coding model, <strong>MAI-Code-1-Flash</strong> (launched at Build 2026 alongside the MAI-Thinking-1 reasoner), ships <strong>adaptive solution-length control</strong> — the model decides <strong>how many reasoning tokens to sp…