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English(EN) Mistral Large 4 Open Weights for Coding: Where You Can Run It Today, and What Each Route Costs

Mistral Large 4 开放权重已发布；自托管需要大量硬件

作者 PulseAugur 编辑部 · [5 个来源] ·

Mistral AI 发布了其 Mistral Large 4 模型的开放权重，这是一个拥有 1.05 万亿参数的混合专家架构。该模型昵称为“Le Chonk”，拥有 100 万个 token 的上下文窗口，并支持多模态输入。虽然每个 token 的活跃参数数量约为 520 亿，使得推理成本与较小模型相当，但总参数数量要求自托管需要大量硬件，权重从几百 GB 到超过 1 TB 不等。该模型的许可证是修改版的 MIT 许可证，其中包含作为服务进行商业使用的规定。 AI

影响 通过提供对强大、大规模开放权重模型的更广泛访问，加速了研究和开发，尽管自托管要求带来了重大障碍。

排序理由 前沿实验室模型发布，带有开放权重。

在 Medium — AI coding tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →

Mistral Large 4 开放权重已发布；自托管需要大量硬件

本文如何被排名

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Frontier Release
前沿实验室模型发布，带有开放权重。
Source corroboration
5 independent sources
Strong cross-source corroboration — multiple independent publishers covered this within the clustering window.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
3 days old
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+1 source(s) since last score
New sources have picked up this story since our last re-score. Score will update on the next scoring pass.

完整方法见我们的编辑标准。

报道来源 [5]

  1. Towards AI TIER_1 English(EN) · Yaroslav ·

    Mistral Large 4 为欧洲的开放权重 AI 提供了新选择

    <h4>The French AI company is giving developers and organizations a new way to run and adapt its most capable model.</h4><figure><img alt="An engineer welcomes a plump orange cat into an open server cabinet." src="https://cdn-images-1.medium.com/max/1024/1*hxasrjxFnVxLWrO8Z9uZIg.p…

  2. Medium — AI coding tag TIER_1 English(EN) · Stackdrop ·

    Mistral Large 4 开放权重用于编码：今天在哪里可以运行它，以及每种路线的成本

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@getstackdrop/mistral-large-4-open-weights-for-coding-where-you-can-run-it-today-and-what-each-route-costs-a940a46c303e?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/ma…

  3. dev.to — LLM tag TIER_1 English(EN) · Zhang Tengfei ·

    Mistral Large 4：规格、基准测试、定价和开放权重

    <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fhqq0y3bvvhma6hm16ohq.jpg"><img alt="Mistral Large 4"…

  4. dev.to — LLM tag TIER_1 English(EN) · Tùng Thành nhân ·

    Mistral Large 4 的权重已发布：你真的可以自托管 1T 模型吗？

    <p>Mistral Large 4, nicknamed Le Chonk, is no longer an API-only preview. On October 29, 2026, Mistral published the weights, three weeks after the October 6 preview. That changes the question from "when can we try it?" to a much more practical one: can a person or a small team a…

  5. dev.to — LLM tag TIER_1 English(EN) · M.T.Ramkrushna ·

    Mistral Large 4 是开放权重模型。在自行托管前请阅读许可协议并进行内存计算

    <p>On October 29, 2026, Mistral released the weights of <strong>Mistral Large 4</strong> (nicknamed "Le Chonk") on Hugging Face. It's a roughly 1 trillion parameter, natively multimodal Mixture-of-Experts model with a 1M-token context, and Mistral calls it the best open-weight mo…

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