Pieter Levels(@levelsio)

🇪🇺 Respect for @MistralAI for actually getting close now 38th in intelligence and only just behind the Chinese open weight models like DeepSeek, GLM and Kimi and ahead of any US open weight model! It shows Europe can still do stuff if they just all get on the same page 👏

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🇪🇺 Respect for @MistralAI for actually getting close now

38th in intelligence and only just behind the Chinese open weight models like DeepSeek, GLM and Kimi and ahead of any US open weight model!

It shows Europe can still do stuff if they just all get on the same page

👏

TL;DR · AI 摘要

Mistral AI的Mistral Large 4模型在综合基准测试中排名38,接近中国顶尖开源模型,且在关键领域表现优于美国模型。

核心要点

  • Mistral Large 4拥有1T参数和多模态能力,是欧美最佳开源模型
  • 在网络安全、制造和金融领域表现超越美国开源模型
  • 欧洲统一协作可与亚洲顶尖模型竞争

结构提纲

按章节快速跳转。

  1. Mistral Large 4模型在综合基准测试中位列第38,接近中国顶尖模型。

  2. 该模型拥有1T参数,支持多模态处理,活跃参数达49B。

  3. 在关键任务中超越美国开源模型,但落后于DeepSeek、GLM等中国模型。

  4. 在网络安全、制造业和金融领域展现卓越性能。

  5. 欧洲通过协作可与亚洲顶尖模型竞争,证明技术实力仍存。

思维导图

用一张图看清主题之间的关系。

查看大纲文本(无障碍 / 无 JS 友好)
  • Mistral AI模型表现
    • 模型规格
      • 1T参数
      • 多模态处理
    • 性能对比
      • 中国模型领先
      • 美国模型落后
    • 应用领域
      • 网络安全
      • 制造业
      • 金融

金句 / Highlights

值得收藏与分享的关键句。

#MistralAI#开源模型#AI排名#多模态模型
打开原文

@levelsio on X: "🇪🇺 Respect for @MistralAI for actually getting close now 38th in intelligence and only just behind the Chinese open weight models like DeepSeek, GLM and Kimi and ahead of any US open weight model! It shows Europe can still do stuff if they just all get on the same page 👏" / X

@levelsio

🇪🇺 Respect for

@

MistralAI

for actually getting close now 38th in intelligence and only just behind the Chinese open weight models like DeepSeek, GLM and Kimi and ahead of any US open weight model! It shows Europe can still do stuff if they just all get on the same page 👏

Mistral AI

@MistralAI

8h

Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses

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Readers added context they thought people might want to know

Readers added context

38 is the score, not position

artificialanalysis.ai/evaluations/ar…

Context is written by people who use X, and appears when rated helpful by others.

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Last edited

4:10 PM · Oct 6, 2026

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