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中文(ZH) 全新架构，极致性价比！阿里千问Qwen3.8-Flash发布并开源

Alibaba releases Qwen3.8-Flash-Next, slashing costs and boosting performance · 6 sources tracked

By PulseAugur Editorial · [9 sources] ·

Alibaba has released and open-sourced Qwen3.8-Flash-Next, a multimodal Mixture-of-Experts model that previews the upcoming Qwen4 architecture. This new model boasts 125 billion total parameters but activates only 6 billion per token, significantly reducing training and inference costs. Qwen3.8-Flash-Next reportedly achieves performance surpassing competitors like Claude Opus 4.6 and DeepSeek-V4-Flash on various benchmarks, including coding and office tasks, while offering substantially lower API pricing. AI

IMPACT Sets a new benchmark for cost-efficiency in LLMs, potentially pressuring competitors like OpenAI and Anthropic on pricing and performance.

RANK_REASON Frontier-lab model release with system card.

Read on 雷峰网 (Leiphone) →

AI-generated summary · Google Gemini · from 9 sources. How we write summaries →

Alibaba releases Qwen3.8-Flash-Next, slashing costs and boosting performance · 6 sources tracked

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model release, product
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COVERAGE [9]

  1. X — SemiAnalysis TIER_1 English(EN) · SemiAnalysis_ ·

    Congrats to @Alibaba_Qwen on the release of Qwen3.8-Flash-Next, using the same architecture innovations as their upcoming Qwen4 model! Such innovations include:

    Congrats to @Alibaba_Qwen on the release of Qwen3.8-Flash-Next, using the same architecture innovations as their upcoming Qwen4 model! Such innovations include: 🟠 51-billion-param N-gram Embedding to look up a table with very little extra computation, which means the embedding h…

  2. 雷峰网 (Leiphone) TIER_1 中文(ZH) ·

    All-new architecture, ultimate cost-effectiveness! Alibaba's Qwen3.8-Flash released and open-sourced

    <p>8月26日晚，阿里发布并同步开源千问最新模型 Qwen3.8-Flash。该模型采用全新下一代架构，千亿总参数仅激活60亿（6B）即可获得超越Claude Opus4.6的前沿性能，创下模型效率的全球新基准。得益于架构和训练的全面革新，Qwen3.8-Flash训练成本较Qwen3.7-Plus骤降近90%，推理成本同样大幅下降，每百万Tokens输入仅1元，输出3元，价格最低至DeepSeek-V4-Flash的1/3，将全球模型性价比“斩杀”至极致新水平。Qwen3.8-Flash今晚将首发上线“千问办公”，开发者和企业也可通过千问AI平台获取…

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

    Alibaba releases Qwen3.8-Flash-Next, targeting "ultimate cost efficiency"

    <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…

  4. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    Alibaba Open-Sources Qwen3.8-Flash with 6B Active Parameters at One-Ninth Training Cost

    Alibaba's Qwen team released Qwen3.8-Flash, a multimodal MoE preview of the Qwen4 architecture with only 6B activated parameters and a training cost one-ninth that of Qwen3.7-Plus.

  5. Mastodon — sigmoid.social TIER_1 Italiano(IT) · [email protected] ·

    Alibaba launches Qwen3.8-Flash: the 27B model writes code like Claude. And the future of paid AIs? 📌 Link to the article: https://www.redhotcyber.com/

    Alibaba lancia Qwen3.8-Flash: il modello da 27B scrive codice come Claude. E il futuro delle IA a pagamento? 📌 Link all'articolo : https://www. redhotcyber.com/post/alibaba-l ancia-qwen3-8-flash-il-modello-da-27b-scrive-codice-come-claude-e-il-futuro-delle-ia-a-pagamento/ Massimi…

    LINKS redhotcyber.com/…/alibaba-lancia-qwen3-8-… redhotcyber.com/…/alibaba-lancia-occhiali…
  6. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Alibaba has open-sourced Qwen3.8-Flash, a multimodal mixture-of-experts model with 125 billion parameters but only 6 billion activated per token. Training cost

    Alibaba has open-sourced Qwen3.8-Flash, a multimodal mixture-of-experts model with 125 billion parameters but only 6 billion activated per token. Training cost is about one-ninth that of its predecessor, with API pricing at 1 yuan per million input tokens. https:// pandaily.com/a…

    LINKS pandaily.com/alibaba-qwen3-8-flash-open-s…
  7. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Alibaba has released Qwen3.8-Flash-Next, a 125B multimodal Mixture-of-Experts model with just 6B active parameters. The release previews Qwen4 architecture and

    Alibaba has released Qwen3.8-Flash-Next, a 125B multimodal Mixture-of-Experts model with just 6B active parameters. The release previews Qwen4 architecture and reportedly trains at one-ninth the cost of Qwen3.7-Plus. Weights coming soon. https://www. marktechpost.com/2026/08/26/a…

  8. Mastodon — mastodon.social TIER_1 Italiano(IT) · [email protected] ·

    👀 Alibaba has released Qwen3.8-Flash-Next with open weights, and 51 billion of those parameters fit in system RAM instead of GPU. It's a preview

    👀 Alibaba ha pubblicato Qwen3.8-Flash-Next con i pesi aperti, e 51 miliardi di quei parametri stanno nella RAM di sistema invece che sulla GPU. È un'anteprima di Qwen4, ed è già scaricabile su Hugging Face. 👇 https:// gomoot.com/qwen3-8-flash-next- e-lassaggio-di-qwen4-ed-e-gia-s…

    LINKS gomoot.com/qwen3-8-flash-next-e-lassaggio…
  9. Mastodon — mastodon.social TIER_1 English(EN) · sipirtu ·

    Alibaba released Qwen3.8-Flash-Next, targeting ultimate cost efficiency. The mixture-of-experts model activates just 6 out of 125 billion parameters per token.

    Alibaba released Qwen3.8-Flash-Next, targeting ultimate cost efficiency. The mixture-of-experts model activates just 6 out of 125 billion parameters per token. Source: The Decoder AI https:// the-decoder.com/alibaba-releas es-qwen3-8-flash-next-targeting-ultimate-cost-efficiency/…

    LINKS the-decoder.com/alibaba-releases-qwen3-8-…

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