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English(EN) Alibaba releases Qwen3.8-Flash-Next, targeting "ultimate cost efficiency"

阿里巴巴发布 Qwen3.8-Flash-Next,挑战更大模型

阿里巴巴的 Qwen 团队预览了其 Qwen4 架构,并发布了 Qwen3.8-Flash-Next。这款新的混合专家模型每个 token 只使用其参数的一小部分,从而显著降低了训练成本。尽管效率很高,Qwen3.8-Flash-Next 仍表现出具有竞争力的性能,在编码和办公相关基准测试中优于 DeepSeek-V4-FlashClaude Opus 4.6 等更大模型。 AI

影响 这款高效模型的发布给 OpenAIAnthropic 等主要 AI 实验室带来了定价压力。

排序理由 前沿实验室模型发布,附带系统卡。[lever_c 从 frontier_release 降级:ic=1 ai=1.0]

在 The Decoder 阅读 →

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阿里巴巴发布 Qwen3.8-Flash-Next,挑战更大模型

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94 / 100
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Significant
前沿实验室模型发布,附带系统卡。[lever_c 从 frontier_release 降级:ic=1 ai=1.0]
Source corroboration
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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完整方法见我们的编辑标准

报道来源 [1]

  1. The Decoder TIER_1 English(EN) · Matthias Bastian ·

    阿里巴巴发布 Qwen3.8-Flash-Next,目标是“极致的成本效益”

    <p><img alt="" class="attachment-full size-full wp-post-image" height="1152" src="https://the-decoder.com/wp-content/uploads/2026/07/qwen_logo-1.png" style="height: auto; margin-bottom: 10px;" width="2048" /></p> <p> Alibaba's Qwen team is previewing the Qwen4 architecture with Q…