Grok-4震撼发布：xAI最新多模态大模型，挑战GPT-4o与Claude 4

Introduction

Grok-4, the latest large language model (LLM) from xAI (founded by Elon Musk), was officially unveiled on July 9, 2025. This release has generated significant waves in the AI community, positioning itself as a direct competitor to leading models like OpenAI's GPT-4o, Anthropic's Claude 4, and Google's Gemini 2.5 Pro. Grok-4 distinguishes itself through its exceptional reasoning capabilities, advanced coding functionalities, and robust multimodal support. The name "Grok," inspired by Robert A. Heinlein's novel Stranger in a Strange Land where it means "to understand profoundly," reflects the model's core mission: to help users achieve a deep, intuitive understanding of complex problems through sophisticated reasoning and real-time data integration.

Grok-4 是 xAI 公司（由埃隆·马斯克创立）于 2025 年 7 月 9 日正式发布的最新大型语言模型。该模型的发布在 AI 领域引起了巨大反响，其定位是与 OpenAI 的 GPT-4o、Anthropic 的 Claude 4 和 Google 的 Gemini 2.5 Pro 等顶级模型直接竞争。Grok-4 以其卓越的推理能力、专业的编码功能和多模态支持模型能够同时处理和理解多种类型的数据输入，如文本、图像和潜在的视频内容。脱颖而出。其名称源于罗伯特·A·海因莱因的小说《异乡异客》中的 "grok" 一词，意为 "深刻理解"，这体现了该模型的核心目标：通过高级推理和实时数据整合，帮助用户深入理解复杂问题。

Core Capabilities of Grok-4

Grok-4 is engineered with a suite of powerful features designed to tackle a wide range of professional and creative tasks.

Advanced Reasoning

The model demonstrates superior performance in logical reasoning, mathematics, and scientific tasks. Benchmark scores indicate a significant leap in its ability to parse complex problems and generate accurate, logically sound solutions.

该模型在逻辑推理、数学和科学任务中表现出色。基准测试用于评估模型性能的标准测试集，涵盖不同任务领域如推理、编程、数学等。分数表明，其在解析复杂问题和生成准确、逻辑严密的解决方案方面实现了显著飞跃。

Specialized Coding Model (Grok-4 Code)

A standout feature is Grok-4 Code, a model fine-tuned specifically for software development. It provides intelligent code completion, debugging assistance, and optimization suggestions. Its design supports real-time integration with Integrated Development Environments (IDEs), making it a potent tool for developers.

一个突出的功能是专门为软件开发微调的 Grok-4 Code 模型。它提供智能代码补全、调试协助和优化建议。其设计支持与集成开发环境（IDE）的实时集成，使其成为开发者的强大工具。

Multimodal Support

Grok-4 supports processing and generating content across multiple modalities, including text and images, with potential for future video input support. This places it on par with other leading multimodal models like GPT-4o and Gemini 1.5.

Grok-4 支持跨多种模态（包括文本和图像）的内容处理和生成，未来可能支持视频输入。这使其与 GPT-4o 和 Gemini 1.5 等其他领先的多模态模型处于同一水平。

Real-Time Data Access

A key differentiator for Grok-4 is its native integration with the X platform (formerly Twitter). This allows it to access and incorporate real-time information, providing users with answers that are current and contextually aware of the latest events and discussions.

Grok-4 的一个关键差异化优势是其与 X 平台（原 Twitter）的原生集成。这使其能够访问并整合实时信息，为用户提供基于最新事件和讨论的、具有时效性和上下文感知的答案。

Extensive Context Window

With support for a context window of up to 132,000 tokens, Grok-4 is well-suited for handling long-form conversations, analyzing extensive documents, and managing complex, multi-step tasks that require substantial background information.

Grok-4 支持高达 132,000 个令牌的上下文窗口LLM处理输入文本时的长度限制，超出部分可能被截断或忽略，影响模型对长内容的整体理解。，非常适合处理长篇对话、分析大量文档以及管理需要大量背景信息的复杂多步骤任务。

Performance Analysis and Benchmarking

Grok-4 has delivered impressive results across a spectrum of industry-standard benchmarks, particularly excelling in domains requiring mathematical prowess, scientific knowledge, and coding skill.

Key Benchmark Results

• HLE (Human Last Exam): Grok-4 achieved a score of 35%, which increased to 41% with tool use and reached 50% using test-time computation (TTC), significantly outperforming many contemporaries.
  • HLE (人类最后一次考试): Grok-4 取得了 35% 的分数，在使用工具时提升至 41%，使用测试时计算（TTC）时达到 50%，显著超越了许多同期模型。
• AIME 2025: The model scored over 90%, reportedly making it the only model to achieve this milestone.
  • AIME 2025: 该模型得分超过 90%，据报道是唯一达到此里程碑的模型。
• GPQA Diamond: An 88% score here underscores Grok-4's strength in advanced, graduate-level reasoning tasks.
  • GPQA Diamond: 88% 的分数凸显了 Grok-4 在高级研究生水平推理任务中的优势。
• SWE-Bench: Grok-4 Code scored between 72-75%, performing on par with the Claude 4 series and leading other models in this software engineering evaluation.
  • SWE-Bench: Grok-4 Code 得分在 72-75% 之间，在此软件工程评估中与 Claude 4 系列表现相当，并领先于其他模型。

Comparative Positioning

When compared to models like GPT-4o, Grok-4's integration with real-time data from X provides a distinct advantage for tasks requiring up-to-the-minute information and rapid iteration based on current trends. However, analyses suggest that in very deep, multi-step reasoning tasks that don't rely on real-time data, it may still trail behind the refined capabilities of GPT-4.

与 GPT-4o 等模型相比，Grok-4 与 X 平台实时数据的集成为需要最新信息和基于当前趋势快速迭代的任务提供了明显优势。然而，分析表明，在不依赖实时数据的、非常深入的多步骤推理任务中，它可能仍落后于 GPT-4 的精炼能力。

Release and Access Information

Grok-4 was announced via a live stream on xAI's X platform on July 9, 2025. While partial APIs have been made available, the full release is anticipated after the July 4th holiday period.

Access Channels

Access to Grok-4 is currently provided through:

• The X platform (web and mobile applications)
  • X 平台（网页和移动应用）
• Dedicated Grok-4 applications for iOS and Android
  • iOS 和 Android 上的专用 Grok-4 应用程序
• xAI's API (forthcoming, targeted at enterprises and developers)
  • xAI 的 API（即将推出，面向企业和开发者）

Availability Model

Grok-4 is an exclusive model, accessible only to subscribers of X Premium+ (priced at $40 per month) and SuperGrok tiers. xAI has indicated the possibility of releasing a smaller, open-source version in the future.

Grok-4 是一个独家模型，仅限 X Premium+（每月 40 美元）和 SuperGrok 级别的订阅用户访问。xAI 表示未来可能发布一个较小的开源版本。

Practical Applications

The versatility of Grok-4 makes it applicable across numerous professional and educational domains.

• Software Development: Leveraging Grok-4 Code for generating boilerplate code, debugging complex issues, and optimizing performance.
  • 软件开发: 利用 Grok-4 Code 生成样板代码、调试复杂问题和优化性能。
• Academic & Industrial Research: Accelerating data analysis, literature review, and hypothesis generation in fields like chemistry, physics, and materials science.
  • 学术与工业研究: 在化学、物理和材料科学等领域加速数据分析、文献综述和假设生成。
• Education: Simplifying complex STEM concepts for students and creating personalized learning pathways.
  • 教育: 为学生简化复杂的 STEM 概念，并创建个性化学习路径。
• Content Creation & Journalism: Generating real-time news summaries, drafting articles, and creating multimedia content informed by current events.
  • 内容创作与新闻: 生成实时新闻摘要、起草文章以及创作基于时事的多媒体内容。

This analysis covers the introductory overview, core capabilities, and initial performance evaluation of Grok-4. The model's architecture, training methodology, and long-term implications for the AI landscape represent deeper topics for future discussion as more technical details become available from xAI.