Gemini 2.5 Pro vs GPT 4.5: Does Google’s Latest Beat OpenAI’s Best?

Soumil Jain Last Updated : 26 Mar, 2025
11 min read

The AI race is heating up with newer, competing models launched every other day. Amid this rapid innovation, Google Gemini 2.5 Pro challenges OpenAI GPT-4.5, both offering cutting-edge advancements in AI capabilities. In this Gemini 2.5 Pro vs GPT-4.5 article, we will compare the features, benchmark results, and performance of both these models in various real-life tasks. By the end of it, we would have a clear indication of which one is better – Google Gemini 2.5 Pro or OpenAI GPT-4.5. So let’s begin!

What is Gemini 2.5 Pro?

Gemini 2.5 Pro is Google’s most advanced AI model, designed for tackling complex tasks with enhanced reasoning, coding, and multimodal capabilities. It is the first experimental release of the Gemini 2.5 series and leads major AI benchmarks, including LMArena. This model is part of Google’s effort to create “thinking models” capable of structured reasoning and improved decision-making.

Features of Gemini 2.5 Pro

Here are some of the key features of Gemini 2.5 Pro:

  • Enhanced Reasoning: The model excels in solving complex math, science, and logical reasoning tasks, providing high-level analytical capabilities across various domains.
  • Advanced Coding Capabilities: It outperforms previous models in code generation, transformation, and editing, with the ability to create complex applications like web apps, AI agents, and games from simple prompts.
  • Multimodal Understanding: The model can handle a wide range of inputs, including text, images, audio, video, and even full code repositories, allowing it to provide more detailed and insightful responses.
  • Extended Context Window: It supports up to 1 million tokens, with plans to extend to 2 million tokens, enabling the processing of large documents, datasets, and complex contextual analysis.

How to Access Gemini 2.5

Gemini 2.5 Pro is available now in Google AI Studio and in the Gemini app for Gemini Advanced users.

Accessing Gemini 2.5 Pro via Google AI Studio

  1. Visit Google AI Studio: Go to ai.studio.google.com and sign in with your Google account.
  2. Select Gemini 2.5 Pro: Once logged in, choose “Gemini 2.5 Pro Experimental 03-25” from the dropdown list of available models on the right-side panel.
  3. Use Gemini 2.5 Pro: After selecting the model, you can input your prompts and interact with Gemini 2.5 Pro.

Accessing Gemini 2.5 Pro via Gemini App

  1. Open the Gemini App: Locate and open the Gemini app on your device.
  2. Ensure Subscription: Make sure you have a Gemini Advanced subscription to access Gemini 2.5 Pro.
  3. Select Gemini 2.5 Pro: Within the app, choose “2.5 Pro (experimental)” from the available model options.
  4. Use Gemini 2.5 Pro: After selecting the model, you can start using it by entering your prompts.

What is GPT-4.5?

GPT-4.5 is the latest iteration of OpenAI’s advanced language model, designed to enhance accuracy, efficiency, and contextual understanding. As an upgrade from GPT-4, it introduces several key improvements, making it more reliable for a wide range of applications, from conversational AI to content generation and coding.

Key Features of GPT-4.5

Here are the key features of OpenAI’s GPT-4.5:

  • Enhanced Conversational Abilities: GPT-4.5 offers more fluid and human-like interactions, making conversations feel less robotic and more engaging.
  • Improved Emotional Intelligence: The model demonstrates a better grasp of social cues and emotional contexts, allowing it to respond with greater empathy and understanding.
  • Multimodal Support: Users can now input text, images, and files, broadening the scope of interactions and applications.
  • Advanced Contextual Understanding: By gaining a deeper understanding of context, GPT-4.5 can provide more accurate and relevant responses, enhancing the overall user experience.
  • Structured Output Generation: The model is capable of producing more organized and coherent outputs, which is particularly beneficial for complex queries and tasks.

Also Read: GPT-4.5 vs GPT-4o: Is GPT-4.5 Really Better?

How to Access GPT-4.5

ChatGPT Pro Users: ChatGPT Pro users can access GPT-4.5 on ChatGPT’s web interface and apps by choosing ‘GPT-4.5’ from the model selection list.

OpenAI API: OpenAI GPT-4.5 can also be accessed via API. For more details on how to use it, you can refer to our existing article here.

Gemini 2.5 Pro vs. GPT-4.5: Performance Comparison

Both Gemini 2.5 Pro and GPT-4.5 are the latest and most advanced models from their respective companies, boasting exceptional capabilities in various AI-driven tasks. But do they truly live up to the hype?

To find out, I’ll be testing both models on the following five complex tasks:

  1. Image Analysis: Evaluating their ability to interpret, describe, and extract insights from images.
  2. Coding: Assessing their ability to generate, debug, and optimize code.
  3. Webpage Creation: Comparing how well they generate functional and visually appealing web pages.
  4. Logical Reasoning: Testing their problem-solving, deduction, and reasoning skills.
  5. PDF Analysis: Measuring their efficiency in analyzing and summarizing financial reports or complex documents.

At the end of each task, I’ll review their performance and pick a winner based on accuracy, speed, and overall effectiveness. So, let’s begin the showdown!

Task1: Image Analysis

Prompt: “Analyze the given image containing ancient temple inscriptions. Identify the language, script style, and any recognizable symbols or patterns. Provide insights into its historical significance, cultural context, and possible meaning. If the script is from a known civilization, explain its relevance and any notable features. Additionally, suggest how this inscription might have been used in religious or societal contexts.”

Input image:

input image

Response by Gemini 2.5 Pro:

image analysis 1
image analysis 2

Response by GPT-4.5:

Google Gemini 2.5 Pro vs OpenAI GPT-4.5 - output 2
Google Gemini 2.5 Pro vs OpenAI GPT-4.5 - output 1

Review:

Criteria GPT-4.5 Gemini 2.5 Pro
Accuracy of Identification Identified the image as an ancient temple inscription with a Dharma Chakra, referencing Indian architectural traditions. Correctly identified the Konark Sun Temple and its symbolism as Surya’s celestial chariot.
Depth of Explanation Provided a broad historical and cultural context, touching on scripts, religious significance, and architectural style. Gave a highly detailed breakdown of the wheel’s structure, spokes, time symbolism, deity representations, and architectural motifs.
Historical Accuracy Gave a broader historical perspective, covering temples across different Indian dynasties. Precise historical reference to the Eastern Ganga Dynasty, King Narasimhadeva I, and the temple’s 13th-century origins.
Speed of Response Faster response generation. Slightly slower but more detailed.
Level of Detail Moderate detail – good historical insights but less technical breakdown of architecture. Highly detailed, breaking down architectural, cultural, and symbolic aspects with more precision.

Final Verdict:

  • GPT-4.5 was faster and broader, yet insightful for quick understanding.
  • Gemini 2.5 Pro’s response was more detailed and precise, especially in historical, cultural, and architectural aspects.

Score: Gemini 2.5 Pro: 1 | GPT-4.5: 0

Task 2: Implement a News Summarization API

Prompt: ”Write a FastAPI-based news summarization API. The API should accept a news article URL, scrape the article text, summarize it into three bullet points using an LLM, and return the Score as a JSON response. Use BeautifulSoup for web scraping and ensure proper error handling.”

Output by Gemini 2.5 Pro:

Google Gemini 2.5 Pro - output

Output by GPT-4.5:

OpenAI GPT-4.5 output

Review:

Criteria Gemini 2.5 Pro GPT-4.5
Code Structure Well-structured, modular, and followed best practices. Clear separation of concerns. More compact but lacked modularity, making it slightly harder to maintain.
Code Readability Clean function decomposition, type hints, and logging made it easy to understand. Readable but more monolithic, with fewer helper functions and less clarity.

Final Verdict

  • Gemini 2.5 Pro provided better code structure and response quality, making it the preferred choice for building a News Summarization API.
  • GPT-4.5 was still strong but had minor readability and response coherence issues.

Score: Gemini 2.5 Pro: 2 | GPT-4.5: 0

Task 3: Webpage Creation

Prompt: “Create a visually engaging webpage that showcases five different music channels, each dedicated to a specific artist: Drake, Kendrick Lamar, Travis Scott, Indian rapper King, and Seedhe Maut. The web page should have a modern, sleek design with a dark theme inspired by music streaming platforms. Each artist should have a dedicated section featuring:

  • A high-quality banner image of the artist.
  • A brief biography and career highlights.
  • Embedded music players or links to their top tracks and albums.
  • A dynamic section displaying recent tweets or news updates about the artist.
  • An interactive playlist feature where users can explore and create their own playlists.
  • Smooth animations and hover effects for an immersive user experience.
  • A responsive design ensures compatibility with both desktop and mobile devices.

Ensure that the page is easy to navigate, loads quickly, and includes a search bar for users to find specific songs, albums, or news related to these artists.”

Output by Gemini 2.5 Pro:

Output by GPT-4.5:

Review:

Feature Gemini 2.5 Pro (Better UI/UX, More Interactive, More Complete) GPT-4.5 (Limited Scope, Structured but Incomplete)
Search Bar Present and functional Present but not well-explored
Banner Images for Artists Present for all five artists Present, but only for Drake
Artist Biography & Career Highlights Detailed and covers all five artists Only Drake’s biography provided
Animations & Hover Effects Smooth animations, immersive hover effects Less emphasis on animations
Responsiveness & Mobile Support Well-optimized for mobile and desktop Responsive but not as polished
Performance & Loading Speed Loads quickly and efficiently Loads well but has limited content
Overall Content Accuracy Comprehensive with all artists properly included Limited to only Drake, missing other artists
Interactivity & Engagement Highly interactive and engaging UI Less interactive and static

Final Verdict

  • Gemini 2.5 Pro is the winner in terms of UI/UX, completeness, and interactivity. It covers all five artists and includes animations, news updates, playlists, and a functional search bar.
  • GPT-4.5 falls short as it only focuses on Drake, making it less comprehensive and interactive despite being well-structured.

Score: Gemini 2.5 Pro: 4 | GPT-4.5: 0

Task 4: Logical Reasoning

Prompt: “A spacecraft is moving in deep space, far from any significant gravitational influence. It fires its thrusters in the forward direction for a short period and then turns them off. What will happen to the spacecraft’s motion? Explain your reasoning using Newton’s Laws of Motion.”

Output by Gemini 2.5 Pro:

Google Gemini 2.5 Pro - logical reasoning

Output by GPT-4.5:

OpenAI GPT-4.5 - logical reasoning

Review:

Criteria Gemini 2.5 Pro GPT-4.5
Depth of Explanation Explain Newton’s 1st, 2nd, and 3rd laws separately, detailing force interactions. Focuses mainly on Newton’s 1st Law with a brief mention of acceleration.
Clarity & Readability Well-structured, step-by-step approach, making it easy to follow. Clear and concise, ideal for quick comprehension.
Scientific Accuracy Correct application of Newton’s laws, explicitly stating force interactions and their effects. Correct, but does not explicitly mention Newton’s 3rd Law and focuses more on inertia.

Score: Gemini 2.5 Pro: 4 | GPT-4.5: 0

Task 5: PDF Analysis

Prompt: “Analyze the provided PDF document and extract key insights, including trends, patterns, and significant data points. Summarize the main findings, highlight any anomalies or notable observations, and provide a concise interpretation of the content.”

Output by Gemini 2.5 Pro:

Google Gemini 2.5 Pro vs OpenAI GPT-4.5 - output 8
Google Gemini 2.5 Pro vs OpenAI GPT-4.5 - output 6
Google Gemini 2.5 Pro vs OpenAI GPT-4.5 - output 7

Output by GPT-4.5:

Google Gemini 2.5 Pro vs OpenAI GPT-4.5 - output 5

Review:

Criteria Gemini 2.5 Pro GPT-4.5
Depth of Analysis Highly detailed, covering multiple aspects in-depth, including budget vs. actual comparison and revenue breakdown. Well-structured but slightly less detailed in financial breakdowns.
Clarity & Readability Structured with headings, bullet points, and well-segmented insights. Concise and structured, making it easier to skim.
Scientific Accuracy Correct financial terms, in-depth IPSAS adherence, and detailed actuarial analysis. Correct but provides a slightly more high-level summary.
Comprehensiveness Covers all key areas, including revenue trends, expense analysis, COVID-19 impact, and ASHI liability. Covers all major aspects but provides fewer granular details.
Concise Interpretation Provides a robust interpretation of WIPO’s financial resilience and challenges. Summarize key takeaways effectively while maintaining clarity.
Key Figures & Data Includes detailed financial figures, revenue breakdown, and percentage changes. Includes major financial figures but with fewer granular comparisons.
Anomalies & Insights Highlights unexpected revenue patterns and actuarial losses clearly. Mentions key anomalies but with less analytical depth.
Strategic Implications Highlights financial risk management and long-term liability concerns explicitly. Mentions strategic financial planning but with slightly less emphasis on risk.

Final Verdict

  • Gemini 2.5 Pro gave a detailed, data-rich analysis with granular financial insights and technical depth.
  • GPT-4.5 gave a high-level yet comprehensive summary, making it more accessible to general readers.

Score: Gemini 2.5 Pro: 5 | GPT-4.5: 0

Final Score: Gemini 2.5 Pro: 5 | GPT-4.5: 0

Also Read: Is GPT-4.5 Worth the Hype?

Gemini 2.5 Pro vs. GPT-4.5: Benchmark Comparison

Here’s a comparison of the performance of Gemini 2.5 Pro and GPT-4.5 across various standard benchmark tests:

Google Gemini 2.5 Pro vs OpenAI GPT-4.5 benchmarks

Key Insights

  1. Reasoning & Knowledge:
    • Gemini 2.5 Pro significantly outperforms GPT-4.5 in reasoning-based evaluations like Humanity’s Last Exam (18.8% vs. 6.4%), showing stronger logical and analytical abilities.
  2. Science & Mathematics:
    • Gemini dominates in science knowledge (GPQA Diamond) with 84.0% vs. 71.4%.
    • Mathematics is a strong suit for Gemini, with AIME 2024 (92.0%) and AIME 2025 (86.7%), while GPT-4.5 lacks Scores in these areas.
  3. Coding & Software Engineering:
    • LiveCodeBench v5 (Code Generation) is missing for GPT-4.5, but Gemini scores a decent 70.4%.
    • Gemini leads in Aider Polyglot (Code Editing) with 74.0%, outperforming GPT-4.5’s 44.9%.
    • For agentic coding (SWE-bench verified), Gemini scores 63.8%, while GPT-4.5 lags behind at 38.0%.
  4. Fact-Checking & Accuracy:
    • GPT-4.5 leads in SimpleQA (Fact-checking & Accuracy) with 62.5%, while Gemini scores 52.9%. This suggests GPT-4.5 has stronger factual consistency. 
  5. Multimodal & Vision Abilities:
    • Gemini excels in visual reasoning (MMM-U) with 81.7%, outperforming GPT-4.5 (74.4%).
    • For image understanding (Vibe-Eval), Gemini scores 69.4%, while GPT-4.5 lacks this capability. 
  6. Long Context Handling & Multilingual Abilities:
    • Gemini handles long context far better (MRCR 128k tokens: 91.5% vs. GPT-4.5’s 48.8%).
    • For multilingual performance (Global MMLU), Gemini scores 89.8%, while GPT-4.5 lacks data.

Conclusion

After an extensive comparison between Gemini 2.5 Pro and GPT-4.5, Google’s latest AI model appears to outperform OpenAI’s best in key areas. These areas include historical analysis, code generation, web development, and reasoning. Gemini 2.5 Pro demonstrated superior depth of analysis and structural reasoning. It also outperformed in tasks like image interpretation and webpage creation. Its modular coding approach makes it preferable for API-based implementations.

However, GPT-4.5 remains a strong contender. It excels in speed and broad contextual understanding. This makes it ideal for quick, generalized insights. Overall, if you prioritize detailed, structured reasoning and complex problem-solving, Gemini 2.5 Pro currently takes the lead. GPT-4.5 is still a strong choice for fast, versatile, and conversational AI applications.

Frequently Asked Questions

Q1. What are the main differences between Gemini 2.5 Pro and GPT-4.5?

A. Gemini 2.5 Pro excels in historical analysis, structured reasoning, and modular coding for API-based implementations, while GPT-4.5 is faster and better at broad contextual understanding.

Q2. Which AI model is better for coding and web development?

A. Gemini 2.5 Pro is preferable for code generation, modular coding, and UI/UX-focused tasks, making it more effective for web development and API-based projects.

Q3. How does Gemini 2.5 Pro perform in reasoning and problem-solving?

A. It demonstrates superior structural reasoning, complex problem-solving, and a deeper analytical approach, making it ideal for intricate tasks.

Q4. Is GPT 4.5 still useful despite Gemini 2.5 Pro’s strengths?

A. Yes, GPT-4.5 remains strong in speed, general insights, and conversational AI applications, making it a great choice for quick and versatile interactions.

Q5. Which AI model should I choose for AI-powered applications?

A. If you need structured reasoning, complex problem-solving, and in-depth analysis, go for Gemini 2.5 Pro. If speed and flexibility matter more, GPT-4.5 is a solid choice.

Q6. Does Gemini 2.5 Pro support better UI/UX design?

A. Yes, it has improved UI/UX capabilities, including superior webpage creation and image interpretation for interactive designs.

Q7. Will future updates change how these models compare?

A. AI models evolve rapidly, so future updates may shift their strengths. Keeping up with advancements will help in choosing the best model for your needs.

Data Scientist | AWS Certified Solutions Architect | AI & ML Innovator

As a Data Scientist at Analytics Vidhya, I specialize in Machine Learning, Deep Learning, and AI-driven solutions, leveraging NLP, computer vision, and cloud technologies to build scalable applications.

With a B.Tech in Computer Science (Data Science) from VIT and certifications like AWS Certified Solutions Architect and TensorFlow, my work spans Generative AI, Anomaly Detection, Fake News Detection, and Emotion Recognition. Passionate about innovation, I strive to develop intelligent systems that shape the future of AI.

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