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Mistral Large 4 public preview and open-weights plan

5 reports4 sourcesupdated 46 minutes ago

What happened

AI digest

On October 6, 2026 at 20:00, Mistral AI announced a public preview of its natively multimodal model Mistral Large 4, available to try through the Mistral Studio API, with weights planned for release at the end of the month. At 21:06 the model hit the Hacker News front page. A 21:15 report said it uses a fine-grained MoE architecture with 49B activated parameters and a 1.6B vision encoder. An earlier report said weights were already open and total parameters were 1.05T; a later 21:29 report said weights are planned for release at the end of October and total parameters are 1T, matching the timing in the first-hand announcement. Mistral says it reaches SOTA on cyberdefense, manufacturing and financial workloads, and that its visual grounding beats closed frontier models. A 22:02 report added OpenRouter beta details: 512K context, up to 256K output, and half price for the first two weeks at $0.68 per million input tokens, $2.09 output and $0.07 cached.

Written by AI from the coverage · updated 22 minutes ago

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Oct 6
  1. AI HOT · Products
    Mistral Large 4 上线 OpenRouter 公测,具备 1T 参数和 512K 上下文

    Mistral Large 4 已在 OpenRouter 开放公测,具备 1T 参数(49B 激活)、原生多模态、512K 上下文及最高 256K 输出。前两周价格五折,每 1M tokens 输入 $0.68、输出 $2.09,缓存 $0.07。

  2. AI HOT · Models
    Mistral 发布 Mistral Large 4:1T 参数、49B 激活的原生多模态模型

    Mistral 发布原生多模态模型 Mistral Large 4,拥有 1T 参数、49B 激活,已开放 API,开放权重计划于 10 月底发布。Mistral 称其在网络防御、制造和金融等关键负载上达到 SOTA,视觉 grounding 超越闭源前沿模型,并称其为美国或欧洲最佳开放权重模型。

  3. Hacker News front page
    Mistral Large 4

    Mistral Large 4 是一款性能领先、开放权重的通用多模态模型,采用细粒度 MoE 架构。模型拥有 49B 激活参数、1.05T 总参数,并配备 1.6B 视觉编码器。

  4. Hacker News front page
    Mistral Large 4

    Mistral Large 4 在 Hacker News 首页获得 18 分、2 条评论。原文未提供模型参数规模、benchmark 分数、上下文长度或可用性等具体信息。

  5. Mistral AIPick
    Mistral AI opens public preview of Mistral Large 4, weights due by month's end

    Mistral AI has put Mistral Large 4 (ML4), its native multimodal model, into public preview. It can be tried now through the Mistral Studio API, and the company plans to release the weights by the end of this month.

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