On August 7, 2025, OpenAI officially released GPT-5, which was officially called "the smartest, fastest, and most practical" AI model. This model finally met users. OpenAI CEO Sam Altman confidently referred to GPT-5 as "the best model in the world." However, in the competitive AI large model market, can GPT-5 truly reign? What are its advantages compared to competitors such as Claude4, Gemini2.5, and DeepSeek R1?

GPT-5 Core Performance Analysis: Breakthrough Upgrades or Gradual Improvements?

Technical Specifications Comparison

From a technical perspective, GPT-5 has made significant improvements in multiple dimensions:

Reasoning Ability: GPT-5 achieved a high score of 94.6% in AIME2025 math problems, which is a significant improvement over GPT-4's performance. This level exceeds most of the current competitors on the market.

Processing Speed Advantage: GPT-5 has shown noticeable improvement in response speed, especially in complex reasoning tasks where it demonstrates faster processing capabilities.

Multi-modal Capabilities: Although GPT-5 has improved its multi-modal processing, it still lags behind Gemini2.5, which fully supports multi-modal input (images, audio, video).

Core Differences with Main Competitors

vs Claude4 Series

Claude4 has always been considered an industry benchmark in code generation and logical reasoning. According to actual tests:

  • Code Capabilities: Claude Opus4 performs most reliably in structured data processing and agent building. GPT-5 shows improvement in code quality, but further verification is needed.
  • Context Handling: The Claude series supports up to 200K token context length stably, while specific parameters for GPT-5 remain partially undisclosed.
  • Reasoning Depth: GPT-5 integrates chain-of-thought reasoning similar to o1, which may give it an advantage in solving complex problems.

vs Gemini2.5 Series

Gemini-Exp-1206 has surpassed GPT-4o in comprehensive capabilities, especially with its 2M ultra-large context window that provides unmatched advantages in handling long texts. GPT-5 faces challenges including:

  • Multi-modal Input: Gemini is currently the only model series that fully supports multi-modal input.
  • Cost Advantage: Using Gemini through Google AI Studio is completely free.
  • Long Text Processing: The ultra-large context window is a key technical indicator that GPT-5 needs to catch up on.

vs Domestic Large Model Camps

Domestic large models such as DeepSeek R1 have shown remarkable performance in early 2025, even briefly surpassing ChatGPT to become the most popular free app on the US iOS App Store. GPT-5 needs to prove itself in the following areas:

  • Cost-effectiveness Ratio: Domestic models usually offer better price advantages.
  • Localization Adaptation: Competition in Chinese language understanding and cultural elements.
  • Innovation Speed: Maintaining technological leadership against rapidly evolving domestic models is a challenge.

Practical Application Scenario Comparative Analysis

Programming Development Field

GPT-5 has started public testing in GitHub Copilot, showing significant improvements in code quality and handling complex programming tasks. However, its actual advantages compared to Claude4's code generation capabilities still need more developers' validation.

Creative Writing and Content Generation

Improvement in creative writing is one of the key upgrade directions for GPT-5. Compared to other models:

  • Text creation is more coherent and creative.
  • It understands complex creative instructions more accurately.
  • However, it may still lag behind specialized localized models in specific fields, such as Chinese content creation.

Research and Analytical Tasks

Performance of GPT-5 in scientific computing and data analysis is worth noting:

  • The significant improvement in mathematical reasoning is impressive.
  • But when dealing with large datasets, it may still not be as effective as Gemini2.5's ultra-large context window.

How to Choose the Most Suitable AI Model?

Faced with so many choices, how should users choose the AI model that best suits their needs?

Selection Suggestions Based on Use Cases

General Office Users: If you need voice chat, image upload, and fast response, GPT-4o or Gemini2.5Flash would be a better choice.

Developer Community: Claude Opus4 still has an advantage in code reliability, while the specific performance of GPT-5 requires more practical verification.

Content Creators: Depending on the type of content and language requirements, you may need to choose between GPT-5, Claude, and localized models.

Research Scholars: For analyzing large files or reading extremely long PDFs, Gemini2.5Pro performs better.

Cost Considerations and Practicality Balance

When choosing a model, in addition to performance, consider the following:

  • Usage Cost: Free quotas and the cost-effectiveness of paid plans.
  • Accessibility: API availability and usage restrictions.
  • Data Security: Enterprise users need to pay special attention to data processing policies.

The Importance of Professional Model Comparison Tools

In such a complex model selection environment, a professional model comparison platform becomes essential. AIbase Model Square (model.aibase.com) was created precisely to address this pain point:

Comprehensive Model Database

  • Includes detailed technical parameters of mainstream large models from both domestic and international sources.
  • Provides real-time updates on the latest version information of each model.
  • Offers standardized performance test data.

Multi-dimensional Comparison Analysis

  • Compares models from multiple dimensions, such as technical specifications, application scenarios, and cost-effectiveness.
  • Based on real-world usage scenario evaluation results.
  • Helps users match the most suitable model according to their specific needs.

Practical Selection Recommendations

  • Intelligently recommends based on the user's described use case.
  • Provides detailed pros and cons analysis.
  • Offers the best value-for-money choice by combining cost and performance.

Conclusion: AI Large Models Enter a New Stage of Competition

The release of GPT-5 undoubtedly injected new vitality into the competition among AI large models. Although OpenAI calls it "expert-level intelligence," whether it can truly surpass already outstanding competitors like Claude4 and Gemini2.5 in practical applications remains to be tested by time and users.

For users, the most important thing is not chasing the latest models, but finding the tool that best suits their needs. In this process, professional model comparison and selection tools will play an increasingly important role.

Whether you are a developer, content creator, or enterprise user, you should make rational comparisons based on your actual needs when choosing an AI model. AIbase Model Square is committed to providing users with the most comprehensive and objective model comparison information, helping everyone find their ideal assistant in the AI era.

This article was written based on public information available before August 8, 2025. AI technology develops rapidly; please pay attention to the latest updates for accurate information.