Gemini vs ChatGPT: Which AI is Better in 2025?

The AI race has changed the whole world like never before.

It all started in November 2022, when OpenAI introduced ChatGPT. A large language model capable of delivering human-like responses on almost every topic.

Since then, LLMs have transformed how we work and interact with technology. Anthropic’s Claude has emerged as a formidable competitor, and other tech companies worldwide have also launched increasingly sophisticated AI solutions.

But this competition wasn’t that dramatic until Google announced the launch of Bard AI in 2023. Bard was just as powerful as ChatGPT at launch and could match ChatGPT’s capabilities in most cases.

Later on, Google rebranded and upgraded its chatbot to Gemini, powered by more advanced models. Meanwhile, OpenAI has continued evolving ChatGPT through multiple iterations.

Both Google and OpenAI have made remarkable strides in their AI capabilities, and their flagship chatbots are vastly powerful than their original versions. But which is better in 2025, Google Gemini or ChatGPT?

Gemini vs ChatGPT at a glance

Differences between Gemini and ChatGPT in 2025

The basic difference between Gemini and ChatGPT lies in the foundation models powering them. 

While both use large language models trained to understand, interpret, and generate human language, they differ significantly in architecture and training methodology:

1. Foundational technology

Google’s Gemini uses the Gemini Ultra 2.0 model, which is built from the ground up as a multimodal AI system. Unlike its predecessor PaLM 2, Gemini was designed to process and understand text, images, audio, code, and video simultaneously. The model benefits from Google’s vast data resources and real-time internet access.

ChatGPT now runs on GPT-4o (Omni), OpenAI’s most capable multimodal model that significantly improves upon GPT-4o. While ChatGPT’s free tier still offers GPT-3.5 Turbo, GPT-4o’s has enhanced reasoning, knowledge, and multimodal capabilities. OpenAI has also expanded GPT-4o’s knowledge cutoff and reduced the problem of outdated information that plagued earlier versions.

Both models are trained on vast datasets from across the internet, but they implement different approaches to multimodal understanding and real-time information:

• Gemini Ultra 2.0 was designed from the ground up as a natively multimodal system. Means, it can understand and reason across text, images, audio, and video simultaneously.
• GPT-4o represents OpenAI’s evolution toward truly multimodal AI, with significantly improved processing speed and enhanced abilities to reason across text, images, and audio.

Beyond their underlying technologies, some capability differences can also affect your user experience.

2. Multimodal capabilities

Gemini has seamless integration of text, images, audio, and video. Its Ultra 2 model can also analyze complex visual information, interpret diagrams, and even process short video clips to answer your questions.

ChatGPT has already enhanced its multimodal capabilities with GPT-4o, and multiple sources suggest that it will tremendously increase with GPT-5 (upcoming model). By that, its resource analysis capability gets more accurate than before. However, till now, 4o’s video analysis capabilities remain limited compared to Gemini Ultra 2.0.

3. Knowledge and information access

Gemini always has real-time access to Google Search. But now with its experimental 2.5 Flash model, it can pull the most current and accurate information available by deep research. This ensures up-to-the-minute facts across any topic, whether it’s for summarization, document analysis, or data extraction.

ChatGPT also improved its information access for summarization, analysis, or data extraction in GPT-4. Also, offers real-time browsing features like deep research for paid subscribers. However, the free version still operates with a knowledge cutoff that limits its ability to discuss recent events.

4. Reasoning and problem-solving

ChatGPT with GPT-4o demonstrates complex reasoning abilities, particularly for multistep problems, creative writing, and nuanced analysis. Also, OpenAI’s focus on alignment and instruction following has created an assistant that better understands user intent.

Gemini has also improved its reasoning capabilities, but still occasionally struggles with complex and multistep problems compared to GPT-4o. However, its reasoning excels when combined with information retrieval tasks.

5. Programming and technical assistance

ChatGPT hasn’t being the perfect assistance for programming previously. But in recent days, GPT-4o shows good code generation capabilities across a wide variety of languages. Its code interpreter feature allows for real-time execution and debugging.

Gemini has closed much of the gap in coding support, with specialized enhancements for software development. Its integration with Google’s development tools gives it particular strength in certain environments, though its overall coding capabilities still lag slightly behind ChatGPT.

6. User experience and integration

Gemini offers strong integration with Google’s ecosystem. This includes Gmail, Docs, Drive, and other productivity tools. According to Google blogs source, it has also expanded Gemini’s capabilities to function as an ambient assistant across all its services to create a unified AI experience.

ChatGPT has developed a vast plugin ecosystem allowing third-party integrations with tools like Notion, Microsoft Office, Adobe Creative Suite, and thousands of other services. OpenAI’s API has also enabled ChatGPT functionality to be embedded in countless applications.

7. Privacy and data usage

Gemini allows users to opt out of having their conversations used for training. However, Google’s business model still relies heavily on data collection, which might raise some privacy concerns.

ChatGPT offers stronger privacy guarantees through its Enterprise tier, which promises that data will not be used for training. For regular users, OpenAI has introduced more granular privacy controls. Though free users’ conversations may still contribute to model training.

However, all this information will give you a narrow overview of these AI assistants. To get a better understanding of how Gemini and ChatGPT compare in 2025, you need a real-time test.

Gemini vs ChatGPT: Comparing responses

That’s why we have conducted a series of tests on each chatbot with prompts designed to showcase their respective strengths and limitations. 

Here are our findings with actual responses from both systems:

1. Up-to-date information

The difference in approaches became immediately visible when we asked about recent technological developments from early 2025.

Our prompt: “What are the most significant advancements in quantum computing in the first quarter of 2025?”

Gemini’s response:

Gemini’s real-time internet access provides an advantage for queries requiring current information.

ChatGPT’s response:

Though ChatGPT’s monthly knowledge updates have significantly narrowed this gap compared to previous years. Both provide source links that allow users to verify information.

2. Response style and conciseness

We observed notable differences in communication style when asking both chatbots to help with everyday writing tasks.

Our prompt: “Write an email draft to my boss asking for a two-week project deadline extension.”

Gemini’s response:

Gemini’s response is notably more concise and direct. It clearly states the current and proposed deadlines in the second paragraph, which makes the request immediately clear. 

ChatGPT’s response:

On the other hand, ChatGPT’s approach is more conversational and slightly longer. It opens with a general well-being check and uses somewhat broader language when explaining the need for an extension.

3. Code generation and technical problem-solving

Both chatbots demonstrate impressive coding capabilities in 2025, but with different strengths.

Our prompt: “Create a Python script that visualizes global temperature changes over the past 5 years using the latest data.”

Gemini’s response:

Gemini generates synthetic data for demonstration purposes and includes more extensive explanations about the code functions. But also guides in obtaining real data later.

ChatGPT’s response:

ChatGPT provides a more practical solution using actual CSV data loading and offers a ready-to-use script with clearly structured steps.

Overall, ChatGPT’s solution appears more immediately applicable for someone with access to data files. While Gemini’s solution offers better educational value by explaining the reasoning behind each code element.

4. Multimodal capabilities

We tested both systems with multimedia inputs to evaluate their visual understanding capabilities.

Our prompt: [Uploaded image of a complex circuit board] “What components can you identify in this circuit board, and what might it be used for?”

Gemini’s response:

Gemini provides a pragmatic assessment focused on what the image actually represents and its likely use in visual branding or educational contexts.

ChatGPT’s response:

Other hand, ChatGPT provides a more detailed component analysis, but misses that this is a stylized representation.

5. Generating image results

Gemini can create visual content through its Imagen 3 model, while ChatGPT can do the same via DALL-E.

Our prompt: Make a blog feature image for “Gemini vs ChatGPT: Which AI is Better in 2025?”

Gemini’s response:

Gemini created a more abstract and futuristic representation in a cosmic environment.

ChatGPT’s response:

ChatGPT produced a clean and professional illustration with a side-by-side comparison.

Which AI assistant is right for you in 2025?

Both Gemini and ChatGPT are good in their own ways. But the “better” AI assistant for you depends entirely on your specific needs.

Choose Gemini if:

Choose ChatGPT if:

Many professionals in 2025 are actually using both services strategically. Such as, Gemini for information retrieval and multimodal tasks. And ChatGPT for complex reasoning, creative work, and programming assistance.

The future of AI assistants

As we look toward the latter half of 2025 and beyond, several trends are emerging already.

1. Increased specialization: Both Google and OpenAI are developing specialized versions of their assistants optimized for specific domains like medicine, law, engineering, and creative work.
2. Advanced reasoning: The next generation of models will likely demonstrate even more sophisticated reasoning abilities, approaching expert-level performance in many domains.
3. Full multimodal integration: Future updates will further blur the lines between different types of inputs and outputs to create a seamless multimodal experience.
4. Personalization: AI assistants will become increasingly personalized, adapting to individual users’ communication styles, preferences, and needs over time.
5. Ethical considerations: Both companies are investing heavily in safety measures. With OpenAI’s recent establishment of its Ethics Board and Google’s Responsible AI practices leading the way.

Gemini or ChatGPT, which one is better?

As Gemini and ChatGPT continue to evolve, we can’t give an absolute winner. They both are strong in different aspects. However, the real winners in this technological race are the users who have increased their productivity from these assistants.

Have you tried both Gemini and ChatGPT? Which do you prefer for your everyday tasks? Share your experiences.