Gemini 2.0 Fash vs GPT 4o: Which is better?

In this comparison, we delve into the capabilities of two leading ai models: Google's Gemini 2.0 Flash and OpenAI's GPT-4o. Gemini 2.0 Flash features a massive 1 million token context window, significantly larger than GPT-4o's 128K, and offers improved ability to handle complex data. Released more recently, Gemini 2.0 Flash also supports a wider range of modalities, including video, which is not available with GPT-4o. Let's explore the difference between Gemini 2.0 Flash and GPT 4o based on 5 tasks.

Gemini 2.0 Flash vs GPT 4o: Overview

Task 1: HTML code for website

Immediate: Basic HTML code for a word count website.

Gemini 2.0 Answer:

Count Words
<!(CDATA(
function countWords() {
const text = document.getElementById("text-input").value;
const words = text.trim().split(/\s+/); 
const wordCount = words.filter(word => word !== '').length; ))>
document.getElementById("word-count").innerHTML = "Word Count: " + wordCount;
}

Front design:

GPT 4o response:

<!(CDATA(
function countWords() {
let text = document.getElementById('textInput').value;
let wordCount = text.trim().split(/\s+/).length;))>
// If there's no text, set word count to 0
if (text.trim() === '') {
wordCount = 0;
}
document.getElementById('wordCountResult').innerText = `Word Count: ${wordCount}`;
}

Front design:

Observation:

For a production environment, the GPT-4o version would provide a much better user experience and require less additional work to prepare for production. It also follows modern web development best practices.

Verdict:

Gemini 2.0 | GPT 4th

Also Read: Gemini vs ChatGPT: Which is better for coding?

Task 2: summarize the content

Immediate: Read the article at https://www.analyticsvidhya.com/blog/2024/07/building-agent-rag-systems-with-langgraph/ to understand the process of creating a vector database for Wikipedia data. Then, provide a concise summary of the key steps.

Gemini 2.0 Answer:

Here are the key steps to create a vector database for Wikipedia data according to the article:

1. Upload and fragment documents
2. Create a vector database and persist it to disk.
3. Set up a vector database retriever
4. Create a query retrieval qualifier
5. Build a QA RAG chain
6. Create a query reformulator
7. Load web search tool
8. Build Agentic RAG components
9. Chart state recovery function for recovery from Vector DB
10. Qualification documents
11. Rewrite query
12. Web search
13. Generate response
14. Decide to generate
15. Create Agent Graph with LangGraph
16. Try our Agentic RAG system

GPT 4o response:

Observation:

GPT 4o's answer is more practical and implementable for someone specifically looking to build a Wikipedia vector database, while Gemini's answer seems to address a broader implementation of the RAG system that goes beyond the core task of creating the database.

Verdict:

Gemini 2.0 | GPT 4th

Task 3: solve a puzzle

Immediate: You are in a hurry to work. You pour yourself a cup of black coffee, but it's too hot. You intend to add a set amount of cold milk, but you know that even after that, the coffee will need to cool for a few minutes before you can drink it.
In which case the coffee gets colder:
1) Add milk immediately and then wait a few minutes before drinking.
2) Wait a few minutes and then add the milk just before drinking.

Gemini 2.0 Answer:

GPT 4o response:

Observation:

For someone who wants to understand not only the answer but also the physics behind it, Gemini's answer provides a more educational and complete explanation. It helps readers understand what is happening and why it is happening.

Verdict:

Gemini 2.0 | GPT 4th

Task 4: Search the web

Immediate: What did Sam Altman say about AGI in 2025?

Gemini 2.0 Answer:

In 2025, Sam Altman, CEO of OpenAI, made several important statements about Artificial General Intelligence (AGI):

• Confidence in achieving AGI: Altman expressed confidence that OpenAI has identified the path to building AGI, as it is traditionally understood.
• ai Agents Entering the Workforce: He predicted that ai agents, capable of completing tasks autonomously, would begin entering the workforce in 2025, significantly affecting companies' production.
• “AGI” as a neglected term: Altman acknowledged that the term “AGI” has become somewhat ambiguous, with different interpretations and definitions.
• Focus on iterative development and security: He highlighted the importance of iterative development and rigorous security research as crucial aspects of responsible AGI development.

These statements highlight OpenAI's ambitious goals and the changing nature of the AGI field.

GPT 4o response:

Until my last update, Sam Altman, CEO of OpenAI, has frequently shared insights about artificial general intelligence (AGI), its development, and its potential impacts. However, I do not have access to specific events or statements beyond 2023.

Sam Altman has previously stated that AGI could dramatically transform society, making everything from healthcare to education more efficient. It has also emphasized the importance of aligning AGI with human values ​​and ensuring safety protocols are in place. In 2023, he spoke about OpenAI's commitment to ensuring AGI is developed responsibly, focusing on its long-term impact.

For the most accurate and up-to-date information, I recommend checking out his most recent statements on platforms like twitter or in interviews.

Would you like to know more about your previous opinions on AGI?

Observation:

Gemini's answer is better as it accurately captured Sam Altman's 2025 statements, provided specific information about AGI, and organized the information logically. He directly addressed the question, including key points about the development of AGI and highlighting nuances such as his opinion that “AGI” is a “neglected term.”

Verdict:

Gemini 2.0 | GPT 4th

Task 5: Image Generation

Immediate: Create an image of a cat.

Gemini 2.0 Answer:

GPT 4o response:

Observation:

The image created by Gemini 2.0 is significantly clearer and better than that of the GPT-4o, displaying superior quality, detail and overall visual appeal.

Verdict:

Gemini 2.0 | GPT 4th

Result: Gemini 2.0 vs GPT 4o

Also read:

Conclusion

This comparison between Gemini 2.0 Flash and GPT-4o shows their advanced capabilities and raises important questions about the impact of ai on creativity, decision-making, and ethics. As machines become smarter, we must ensure they train humans responsibly, with clear ethical guidelines and transparency. The future of ai depends on balancing innovation with human values, ensuring that technology evolves in harmony with society.