Mistral Small 3 logo

Mistral Small 3紧凑的開源LLM,以較低的運算需求提供競爭性性能。

4.5 (4)
Daniel Nikulshyn审阅者 Daniel Nikulshyn·更新 2026年7月

概览

Mistral Small 3 是 Mistral AI 的一个轻量级大型语言模型,旨在提供强大的推理和生成能力,同时能够在资源较为有限的硬件上高效运行。它面向那些希望拥有强大 AI 能力但不想承担前沿规模模型基础设施成本的开发者和组织。 在开放许可证下发布,该模型可自行托管、微调,并集成到商业应用中。它在速度、精度与资源效率之间实现了平衡,适用于聊天助手、内容生成、代码任务以及需要低延迟或注重隐私的本地部署。

主要功能

  • 開源模型發佈
  • 效率優化的推論
  • 競爭性的基準結果
  • 支持微調和個性化
  • 適合免費部署
  • 支援多語文字生成

价格

模型
Free
评分
4.5 / 5 (4)

使用场景

对话辅助

Mistral Small 3 在需要快速、准确响应的场景中表现出色,例如提供即时反馈的虚拟助理以及近实时交互。

低延迟函数调用

在自动化或代理工作流中使用时,Mistral Small 3 能够快速执行函数。

领域专用专长

Mistral Small 3 可以进行微调,以在法律、医疗或技术支持等特定领域中形成高度准确的专家模型。

优点 & 缺点

优点

  • 開源和自持
  • 較前沿級別模型更低的硬件需求
  • 強大的性能
  • 授權允許商業使用
  • 推論速度快、延遲低
  • 允許免費部署

缺点

  • 旗艦前沿級別模型的容量較小
  • 免費部署需要技術專業知識
  • 對專門任務需要微調

对决战绩

在万神殿中参与了 1 对决。

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第3

Last battle

评测

4.5

4 个评分的平均值。

5
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4
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3
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登录以留下评测。

Kwame Mensah

Kwame Mensah

Oct 29, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on multilingual text generation, and fast inference and low latency caught me off guard. Self-hosting requires technical expertise is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Carlos Mendoza

Carlos Mendoza

Oct 13, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: suitable for on-premise deployment and lower hardware requirements than larger rivals. Where it lags: may need fine-tuning for specialized tasks. On balance the feature set — especially supports fine-tuning and customization — justifies the 4 stars for our use case.

Leila Hassan

Leila Hassan

Oct 2, 2025

Use it every day

Honestly didn't expect to like it this much. Suitable for on-premise deployment is exactly what I needed, and fast inference and low latency. but I reach for it almost every day now and it just clicks.

BC

Beatriz Costa

Jun 18, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on open-weight model release, and strong performance for its size caught me off guard. Self-hosting requires technical expertise is why this isn't a perfect score, still, I'd recommend giving it a real trial.

问答

What hardware is required to run Mistral Small 3 efficiently?

Mistral Small 3 is a 24 billion‑parameter model optimized for low latency; it runs at about 150 tokens/second and is more than three times faster than larger rivals on the same hardware. It can be deployed on modest GPU setups that can handle 24 B parameters, making it suitable for on‑premise or edge environments.

Asked by Noor Siddiqui · Nov 7, 2025

Can I fine‑tune Mistral Small 3 for my domain‑specific tasks?

Yes. The model is provided with both pretrained and instruction‑tuned checkpoints, and the release supports fine‑tuning and customization, allowing you to adapt it to specialized applications such as code generation or niche language tasks.

Asked by Rina Desai · Oct 24, 2025

What are the costs associated with using Mistral Small 3?

Mistral Small 3 is released under the Apache 2.0 open‑source license, so the model weights are free to download and use. Costs only come from the compute resources needed to host and run the model, which are lower than for larger models.

Asked by Ivana Novak · Oct 19, 2025

提问

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