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The AI assistants Google Gemini, Microsoft Copilot and Openai Chatgpt in comparison

Published on: March 14, 2025 / update from: March 14, 2025 - Author: Konrad Wolfenstein

The AI assistants Google Gemini, Microsoft Copilot and Openai Chatgpt in comparison-Image: Xpert.digital

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AI assistant in the test: strengths, weaknesses and possible uses

The landscape of the AI language models has changed dramatically since the end of 2022. With the introduction of chatt, a new era of the AI assistant was heralded, which change our work, communicate and inform fundamentally. Three main actors today dominate the market: Openais Chatgpt, Microsoft's Copilot and Google's Gemini. These three AI systems are fighting for dominance in the growing market of generative AI. The following report offers a comprehensive analysis of the strengths, weaknesses and possible uses of these AI assistants.

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Development history and technical foundations

The three AI assistants have taken different roots and development paths that significantly shape their current skills. Each system is based on different voice models with unique features.

Creation and evolution of the AI assistants

Openai introduced Chatgpt in November 2022, triggering an unprecedented boom in the area of the generative AI. This success forced the technology groups Microsoft and Google to quickly add. Microsoft presented Copilot - originally known as Bing Chat - in February 2023 as a preview version and published it for the general public in May 2023. Thanks to a strategic partnership with Openai, Copilot uses the same Large Language Model (LLM) as Chatgpt and also integrates the bing search for real-time information access. Google reacted at the same time as the publication of Bard in February 2023, which was renamed Gemini a year later. In the course of 2024, Google has significantly improved its language models.

The development dynamics of these AI assistants are impressive. While Chatgpt continuously introduced new versions of its GPT models (from GPT-3.5 to GPT-4 to multimodal GPT-4O), Microsoft focused on integrating Copilot deep into its ecosystem. Google, on the other hand, worked intensively to overcome the initial weaknesses of Gemini, which was criticized for his tendency to "hallucinate" incorrect information. In December 2023, Gemini received an important update to the new AI model Gemini Pro 1.0, which made his answer quality comparable to that of GPT-3.5.

The AI models used in comparison (as of March 2025)

Chatt

The latest GPT models from Openai:

GPT-4O: The current flagship model with multimodal skills for processing text, image, audio and video.
GPT-4O Mini: A compact, multimodal version, optimized for minor tasks and cost-sensitive applications.
GPT-4.5: An improved version with more precise answers, more natural interactions and expanded knowledge base.
O1: An advanced model that can solve complex problems with logical steps.
O3: The latest generation (O3-Mini and O3mini-High, which is even more powerful than their predecessors.

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Microsoft Copilot

Microsoft Copilot currently uses several AI models from Openaai:

GPT-4 Turbo: Since April 2024, licensed commercial customers have had priority access to GPT-4 Turbo in Microsoft 365 Copilot.
GPT-4O: This is the latest model that offers multimodal skills to process text, image, audio and video.

However, Microsoft plans to reduce its dependence on Openai. According to reports from March 2025, Microsoft is looking for alternatives and experiments with the integration of AI models from other providers such as Xai, Meta, Anthropic and Deepseek in Copilot.

In addition, Microsoft develops its own AI technologies for Copilot, such as the Copilot agents, which should be available for all Microsoft 365 Copilot license holders from the beginning of 2025.

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Google Gemini

Google relies on its own model family:

Gemini 2.0 Flash: The latest version, generally available since February 2025.
Gemini Ultra/Advanced: competes with GPT-4 and exceeds it in some areas.
Gemini Pro: Comparable to GPT-3.5 in performance.

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Performance comparison

Context window: Gemini Advanced offers an impressive context window of up to 1 million tokens for end users, while the API version even supports 2 million tokens. In comparison, GPT-4 processes 128,000 tokens.
Multimodality: Both GPT-4O and Gemini 2.0 Flash support multimodal entries, including text, image, audio and video.
Efficiency: Gemini 2.0 Flash has been specially optimized for real -time applications and offers very high speed.

Core functions and skills

The three AI assistants differ significantly in their core functions and skills. These differences are crucial for their respective strengths and optimal areas of application.

Text generation and understanding

All three AI assistants can generate and understand high-quality texts, but there are subtle differences in their performance. Chatgpt is characterized by its liquid conversation and innovation. It is ideal for creating various text formats such as emails, scripts, poems and even code. Its strength lies in the ability to record complex input requests and to react with dynamic and interactive expenses.

Microsoft Copilot unfolds its full strength, particularly in the context of Microsoft applications. The tool completes sentences, improves texts and proposes tailor-made content that fits perfectly into the workflow of Microsoft products. This integration into the existing working environment makes Copilot particularly valuable for users who are already heavily relying on Microsoft products.

Google Gemini convinces with his deep understanding of the language bases. Designed as a multimedia model, it can create demanding and particularly context -friendly texts. Its strength lies in the ability to understand and generate texts with complex contexts.

Multimodality and media processing

The ability to process and generate different types of media varies significantly between the three assistants. Google Gemini is considered a multimodal power package that does an excellent work in the processing and production of various data shapes such as videos, audio and images. These versatile skills significantly expand Gemini's scope.

Chatgpt has also achieved considerable multimodal skills with the introduction of GPT-4O. It can generate 3 images in different formats, create texts, analyze pictures and even interact with language. This versatility makes Chatgpt a comprehensive tool for creative and analytical tasks.

Microsoft Copilot was originally developed primarily for text and code processing. Although it now also offers multimodal functions, it remains somewhat behind the competition in this area. It can create images with a resolution of 1,024 × 1,024 pixels, but offers fewer format options than chatt. However, integration into the Microsoft application suite enables a certain interaction with different data types.

Programming support and codegenization

The ability to generate and support code in programming is an important distinction between the AI assistants. Microsoft Copilot shines in this area because it is specially tailored to the requirements of developers. It offers code suggestions and completion in real time together with a explanation of how the productivity of the developers significantly increases.

With its multimodal skills, Google Gemini is viewed as a revolutionary codegener and programming assistant. It Excounts with tasks such as code debugging, writing code from natural language descriptions and the optimization of existing code bases.

Chatgpt can generate code snippets and explain the code logic, but its main focus is on text-based interactions. The Chatgpt's codegenization functions are somewhat more restricted compared to Copilot, although they are quite sufficient for many applications.

Integration and ecosystem connection

Integration into existing services and ecosystems is a decisive factor for the practical usability of the AI assistants. Google Gemini is closely integrated into the Google ecosystem and can access data from Gmail, Drive, Maps and other Google services. This seamless integration enables Gemini to use context-related information from the various Google services and thus provide more relevant answers.

Microsoft Copilot is deeply embedded in the Microsoft ecosystem, especially in the Microsoft 365 Suite. It supports users in applications such as Word, Excel, PowerPoint or Outlook by using AI to do tasks faster and more efficiently. For example, Copilot can revise texts, analyze complex tables in Excel or create presentations in PowerPoint. This context -related support directly in the respective applications aims to simplify and accelerate existing work processes.

Chatgpt, on the other hand, is an independent service that is accessible via a web interface, mobile apps and an API. A special feature of Chatgpt is the possibility of creating customgpts-custom AI assistants for specific tasks. This flexibility enables users to adapt Chatgpt to their individual needs.

Performance comparison and areas of application

The practical performance and the optimal areas of application of the three AI assistants vary significantly and should be taken into account when choosing.

Accuracy and problem -solving skills

The accuracy and reliability of the answers is a crucial factor when evaluating AI assistants. In a simple test with the question “I have 5 oranges today, I ate 3 oranges last week. How many oranges do I have left? " (Whereby the correct answer 5 is), both Microsoft's Copilot as well as Google Gemini and Chatgpt with GPT-4/4O were correct. Only chatt with the older GPT-3.5 model failed because of this task.

Chatgpt, especially with the GPT-4 model, is particularly strong in logical thinking and the solution to complex problems. However, Gemini and Copilot pick up in this area. This ability to think about logical thinking is crucial for complex tasks such as mathematical calculations, scientific analyzes or programming challenges.

Another important aspect is the speed of the answers. Gemini usually provides particularly quick answers, which have become more precise over time. It is not faster than Chatgpt Plus, but it can react faster than the free version of Chatgpt. This reaction speed can be of crucial importance in time -critical applications.

Strengths and optimal areas of application

Each of the three AI assistants has specific strengths that make it particularly suitable for certain applications. Google Gemini impresses with its multimodal skills and the potential to master advanced thinking processes. Its excellent problem -solving algorithms and the large context window make it a powerful tool for complex tasks. It is particularly suitable for users who need a versatile AI model to deal with different data types and complexities and which are already deeply integrated into the Google ecosystem.

Microsoft Copilot scores with its seamless integration into the Microsoft ecosystem. Copilot's strength lies in the context-related support directly in the respective Microsoft application. It is the best choice for users who focus on codegenization and support in the Microsoft ecosystem. It is particularly suitable for Microsoft Office users and companies who use Office 365.

Chatgpt convinces with its remarkable conversation skills and its versatility in text generation. It has an exceptionally comprehensive range of functions and positions itself as an innovation driver with groundbreaking features such as Deep Research or the operator concept. Chatgpt is ideal for users who prioritize conversation AI and creative text position. It acts as a universal conversation AI, which is suitable for general users, developers and companies.

Cost and accessibility

The costs and availability play an important role in deciding for a AI assistant. All three providers offer both free and paid versions, with different performance features and restrictions.

Chatgpt offers a free version with GPT-3.5 and limited access to GPT-4O. For around $ 20 per month, plus subscribers have access to more progressive models such as GPT-4 and GPT-4O with higher usage limits. This price structure makes Chatgpt accessible to many individuals and smaller companies.

Microsoft Copilot is available free of charge in a basic version, with access to GPT-4O, but with certain functional restrictions and usage limits. The Pro version costs around € 22 per month and offers extended functions without usage limits for GPT-4O. For companies there is Copilot 365 for around € 30 per month, which enables full integration into the Microsoft 365 environment. These staggered options allow users to choose the version suitable for their needs.

Google Gemini is also available in a free basic version, with a performance similar to that of GPT-3.5. The Advanced/Ultra version offers advanced skills, comparable to GPT-4. This flexibility in the price models enables users with different budgets to benefit from the advantages of AI assistants.

Data protection and the further steps

The use of AI assistants raises important questions about data protection, and at the same time the AI landscape is developing rapidly.

Data protection aspects of AI assistants

For companies that use AI assistance systems such as Copilot or Gemini AI, data protection law implications are of great importance. For Copilot Chat, Microsoft has implemented an “Enterprise Data Protection”, which ensures that the data processed via copilot services is protected by various measures. This is particularly important for companies that work with sensitive or confidential information.

With Google Gemini and Microsoft Copilot, it should be noted that the free AI features that are now integrated in many modern tools often have access to far-reaching data. As a result, many companies now have access to far-reaching AI features for a small additional fee or without any additional costs, which raises questions about data processing.

When choosing an AI assistant, users should take into account the data protection guidelines and data security measures of the respective provider, especially if sensitive or confidential information is to be processed. This applies all the more in regions with strict data protection regulations such as the European Union.

The next generation of AI: Autonomous assistants on the rise

The AI landscape develops at breathtaking speed. Experts expect another quantum leap in the development of AI assistants in 2025. The increasing competitive pressure among providers such as Openai, Microsoft, Google and Meta forces the operators to offer new functions at high pressure and continuously improve their systems.

A particularly interesting development is the trend towards autonomous AI systems. While current AI assistants are mainly reacting reactively to inquiries, future versions will be able to act more proactively. Instead of just reacting passively, you will - on request - also actively take on and carry out tasks. This development towards AI agents promises to fundamentally change interaction with AI systems and to significantly increase their usefulness.

The continuous improvement of multimodal skills is another important trend. The leading AI models are no longer limited to text: they recognize pictures, understand spoken language and react with naturally sounding voices. This versatility is increasingly being used for AI tools for more complex and diverse tasks.

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Google Gemini vs. Microsoft Copilot vs. Chatgpt-which AI assistant suits you?

The choice between Google Gemini, Microsoft Copilot and Openai Chatgt depends largely on the individual needs and requirements of the users. All three AI assistants offer impressive skills, but also have their own strengths and weaknesses.

Chatgpt is characterized by its versatility, strong conversation skills and a wide range of functions. It is an excellent all-rounder and is suitable for users who are looking for a flexible and powerful AI solution. With functions such as CustomGPTs, it also offers the option of creating specialized assistants for certain tasks.

Microsoft Copilot benefits from its deep integration into the Microsoft ecosystem and is particularly suitable for users who have already invested heavily in the Microsoft 365 Suite. His strengths lie in the concrete support in everyday office tasks and in codegen within the Microsoft environment.

Google Gemini convinces with its large context window, fast response times and strong multimodal skills. It is particularly useful for users who are already closely connected to the Google ecosystem and can benefit from integration with Google services.

When choosing a AI assistant, users should take their specific requirements, preferred platforms and data protection concerns into account. In many cases, it can also make sense to use several assistants for different tasks in order to benefit from the respective strengths. In view of the rapid development in the field of artificial intelligence, it is also advisable to keep an eye on the progress of the various platforms, as their skills are continuously evolving.

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