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OpenAI 发布 GPT-5.4 mini 和 nano 小型模型

📅 2026-03-18 05:23 Berryxia.AI 人工智能 3 分鐘 3530 字 評分: 85
OpenAI GPT-5.4 mini GPT-5.4 nano AI 模型 大语言模型
📌 一句话摘要 OpenAI 推出了其功能最强大的小型模型 GPT-5.4 mini 和 nano,其中 mini 版本速度更快并针对多项任务优化,nano 版本则更小更便宜。 📝 详细摘要 这条推文宣布了 OpenAI 发布 GPT-5.4 系列的两个小型模型:mini 和 nano。GPT-5.4 mini 被描述为迄今为止功能最强大、速度比 GPT-5 mini 快两倍以上的小型模型,特别针对编码、计算机使用、多模态理解和子智能体进行了优化。而 GPT-5.4 nano 则是 GPT-5.4 系列中最小、最经济的版本,适用于轻量级任务。这表明 OpenAI 正在扩展其模型产品线,以满
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OpenAI Releases GPT-5.4 mini and nano Small Models

OpenAI Releases GPT-5.4 mini and nano Small Models

![Image 2: Berryxia.AI](https://www.bestblogs.dev/en/tweets?sourceId=SOURCE_4287449f) ### Berryxia.AI

@berryxia

OpenAI 推出了 GPT-5.4 mini 和 nano,这是他们迄今为止功能最强大的小型型号。

GPT-5.4 mini 的速度比 GPT-5 mini 快 2 倍以上。针对编码、计算机使用、多模态理解和子智能体进行了优化。

对于较轻的任务,GPT-5.4 nano 是他们最小、最便宜的 GPT-5.4 版本。

!Image 3: OpenAI Developers

#### OpenAI Developers

@OpenAIDevs · 1d ago

We’re introducing GPT-5.4 mini and nano, our most capable small models yet.

GPT-5.4 mini is more than 2x faster than GPT-5 mini. Optimized for coding, computer use, multimodal understanding, and subagents.

For lighter-weight tasks, GPT-5.4 nano is our smallest and cheapest version of GPT-5.4. openai.com/index/introduc…Show More

!Image 4: Tweet image

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One Sentence Summary

OpenAI has launched its most capable small models to date, GPT-5.4 mini and nano, with the mini version being faster and optimized for various tasks, and the nano version being smaller and more affordable.

Summary

This tweet announces OpenAI's release of two small models in the GPT-5.4 series: mini and nano. GPT-5.4 mini is described as their most capable small model yet, more than twice as fast as GPT-5 mini, and specifically optimized for coding, computer use, multimodal understanding, and subagents. GPT-5.4 nano is the smallest and most economical version in the GPT-5.4 series, suitable for lighter-weight tasks. This release indicates OpenAI's expansion of its model lineup to meet diverse application needs for efficiency and cost, especially in edge computing and resource-constrained AI environments.

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Published At 03-17

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查看原文 → 發佈: 2026-03-18 05:23:58 收錄: 2026-03-18 08:00:40

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