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Mistral Large 24.11 logo

Mistral Large 24.11睿风旗舰模型,支持多语言推理、编码和企业级任务

4.7 (6)
Daniel Nikulshyn审阅者 Daniel Nikulshyn·更新 2026年7月

概览

Mistral Large 24.11 是 Mistral AI 在 2024 年 11 月发布的顶级大型语言模型。它专注于高级推理、代码生成、数学问题求解以及跨多种语言的复杂指令执行,适用于研究和生产使用。 该模型面向企业工作流程,强力支持函数调用、结构化输出以及长上下文任务。可通过 Mistral API 或合作云平台获取,赋予团队在部署与集成方式上更大的灵活性。 开发者常用 Mistral Large 24.11 为代码助手、多语言聊天机器人、文档分析流水线以及检索增强型应用提供动力,在这些应用中,跨语言可靠推理至关重要。

主要功能

  • 高级推理和指令遵循
  • 内置多语种支持
  • 代码生成和调试
  • 函数调用和 JSON 输出
  • 长语料处理
  • 企业部署选项

价格

模型
Free
分类
LLM
评分
4.7 / 5 (6)

使用场景

文档理解

睿风 Large 24.11可以分析和理解文档、图表和自然图像,同时保持领导水平的文本only理解.

数学推理

该模型在复杂的数学推理上获得69.4%的成绩,超过所有其他模型,在视觉数据上进行数学推理。

多语言 OCR 和推理

睿风 Large 24.11可以进行多语言 OCR 和推理任务,如计算订单中包括小费的总金额.

优点 & 缺点

优点

  • 支持多语种任务的强大性能
  • 坚实的编码和数学推理能力
  • 支持函数调用和结构化输出
  • 可通过 API 和主要云提供商使用

缺点

  • 闭源权重商业模型
  • API 使用费在高规模下快速增加
  • 不适合简单任务的规模和速度

评测

4.7

6 个评分的平均值。

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O

Omar Haddad

May 15, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: code generation and debugging and available via API and major cloud providers. On balance the feature set — especially advanced reasoning and instruction following — justifies the 5 stars for our use case.

P

Pierre Dubois

May 1, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: native multilingual support and available via API and major cloud providers. Where it lags: aPI usage costs can scale quickly at high volume. On balance the feature set — especially native multilingual support — justifies the 5 stars for our use case.

G

Gunnar Eriksson

Apr 8, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: enterprise deployment options and solid coding and math reasoning capabilities. On balance the feature set — especially native multilingual support — justifies the 5 stars for our use case.

N

Naomi Suzuki

Oct 23, 2025

Does the job

Pretty happy overall. Function calling and JSON outputs just works and supports function calling and structured outputs. API usage costs can scale quickly at high volume can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

F

Fatima Zahra

Jul 6, 2025

Does the job

Pretty happy overall. Code generation and debugging just works and solid coding and math reasoning capabilities. Closed-weights commercial model can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

T

Tariq Aziz

Jun 29, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is advanced reasoning and instruction following — handled better than most — and strong multilingual performance across major languages. Not the smallest or fastest option for simple tasks is my one real gripe. Worth the time if this is your use case.

问答

暂无问题 — 来当第一个提问的人吧。

提问

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