Image generation has become one of the most exciting applications of AI in recent years. Two of the most prominent models in this domain are Imagen 3 and ChatGPT DALL-E 3. While both models are highly capable and versatile for image-related tasks, there are some differences between the two. This article aims to explore and compare various features and capabilities of both models to find out the ultimate winner in the Imagen 3 vs DALL-E 3 battle. For this comparison, we will be using ChatGPT-4o, powered by DALL-E 3, and Gemini Advanced (1.5 Flash), powered by Google Imagen 3. We will be testing out the performance of both models for 3 tasks:
- Image generation,
- Image analysis, and
- Image editing.
So let’s begin!
Imagen 3 vs DALL-E 3: Image Generation
We’ll first test out the image generation capabilities of both models across 3 categories: realistic photos, interior design layouts, and imaginative illustrations. To do this, we will give three different prompts to ChatGPT-4o and Google Gemini Advanced and compare the responses generated by ChatGPT DALL-E 3 and Google Imagen 3, respectively.
Realistic Photo
Prompt: Create a hyper-realistic photo of a serene mountain lake at sunrise, with crystal-clear water reflecting the surrounding snow-capped peaks and pine trees.
Output:
Analysis: Both models have generated stunning visuals for this prompt, showing snow-capped mountains, pine trees, and their reflection in the lake. Imagen 3’s image shows the stones under the water, which makes it look more realistic. However, the image doesn’t show any references of a sunrise, and rather looks like a photo taken in the late afternoon. ChatGPT DALL-E 3’s image got it right with the sunlight coming in from one side, indicating sunrise. But the colour and contrast of the image makes it look more like a digital painting than a realistic image.
Score: Imagen 3: 1, DALL-E 3: 0
Interior Design Layout
Prompt: Create an image of a modern, minimalist living room in shades of red and black, complete with a couch, carpet, table, light fixtures, wall art, and floor-to-ceiling windows overlooking the ocean.
Output:
Analysis: Once again, both the models have generated accurate images following the prompt. The image made using Imagen 3 looks more realistic, where you can visually feel the textures of different materials. The beach shown outside the window is also accurately generated. On the other hand, there are a few errors in the image created using DALL-E 3. There is a bird on the floor, window panels that look out of place, and lighting fixtures that are lit bright during the day. Moreover, the setting is not as minimalist, as that designed by Google Imagen 3. The beach and external lighting also looks less realistic and blurry. So for this prompt, we have a clear winner: Imagen 3!
Score: Imagen 3: 2, DALL-E 3: 0
Imaginative Illustration
Prompt: Generate an illustration of a red colour dragon breathing out fire on Eiffel Tower.
Output:
Analysis: Although both the models have generated images that match the description in the prompt, this time, Imagen 3 seems to have gotten a few things wrong. The flame of fire isn’t coming from the dragon’s mouth and it isn’t aimed at the Tower. It is clearly seen that the Tower is in a different frame in the background, while the dragon is standing much more to the front. DALL-E 3 has done a significantly better job at generating imaginative illustration, clearly showing what looks like a movie scene! The extra additions of the moon and lightning, further displays the artistic skills of the generative model.
Score: Imagen 3: 2, DALL-E 3: 1
Also Read: How to Use DALL-E 3 API for Image Generation?
What’s the Verdict?
When it comes to image generation, it is clear that Imagen 3 can create better and more realistic images as compared to DALL-E 3. But for imaginative illustrations or fantasy and sci-fi themed images, ChatGPT DALL-E 3 is a better option.
Imagen 3 vs DALL-E 3: Image Analysis
Gemini Advanced and ChatGPT-4o are both vision models. This means they can process and understand images. Image analysis is therefore an important aspect to consider while comparing the visual capabilities of these models. So, in this section, we’ll try out three different images: a cityscape, a diagram, and a chart – and see how good the models – Imagen 3 vs DALL-E 3 – are in analyzing them.
Describing a Cityscape
Let’s upload a picture of London’s skyline and see if these generative AI models can guess it right.
Prompt: Describe the image in detail. Identify the city and all the prominent buildings shown in the image.
Output:
| Gemini Advanced | ChatGPT-4o |
|
The image showcases a stunning panorama of London, capturing the city’s iconic skyline and its reflection on the River Thames. Prominent Landmarks: The Gherkin: Also known as 30 St Mary Axe, this distinctive skyscraper with its unique shape is a modern landmark. The Shard: This towering skyscraper, one of the tallest in Europe, dominates the skyline. The Walkie-Talkie: This skyscraper, with its curved shape, is a notable addition to the London skyline. The Leadenhall Building: Also known as the Cheesegrater, this tall skyscraper with its distinctive shape is another prominent landmark. Additional Details: The sky is a beautiful mix of blue and white clouds, adding depth and dimension to the scene. Boats are seen navigating the river, adding a touch of life and movement to the image. Overall, the image captures the grandeur and dynamism of London, showcasing its iconic landmarks and the beautiful interplay of architecture and nature. |
The image showcases the iconic skyline of London, featuring a blend of historic and modern architecture. The foreground includes a reflective water surface, likely the River Thames, creating a striking mirror effect of the cityscape. Here’s a detailed breakdown: City: London Key Features and Buildings in the Image Tower Bridge (Left-Center) The Walkie Talkie (20 Fenchurch Street) The Gherkin (30 St Mary Axe) The Shard (Far Left) The Cheesegrater (122 Leadenhall Street) The Scalpel (52 Lime Street) St. Paul’s Cathedral (Left of Tower Bridge) The Tower of London (Near the base of Tower Bridge) Residential and Commercial Buildings (Foreground and Midground) Lighting and Atmosphere This image beautifully captures the juxtaposition of London’s historic and modern architecture, symbolizing the city’s rich history and its forward-looking development. |
Analysis: Both models have accurately identified the image as London’s skyline. They have recognized the different buildings in the image and also the River Thames. However, ChatGPT-4o identified more number of buildings, along with their nicknames, displaying its better understanding of the image. The descriptions of the images were also in more detail as compared to Gemini Advanced. It even gave a short description of London, stating it as the capital of the United Kingdom. On the other hand, Gemini Advanced could identify smaller details such as the boats in the water.
Score: Gemini Advanced: 0, ChatGPT-4o: 1
Understanding a Diagram
Now let’s see if the models can understand a simple circuit diagram.
Prompt: Describe the circuit shown in the diagram and identify all the electrical symbols used.
Output:
| Gemini Advanced | ChatGPT-4o |
|
Components: Battery (10V): The symbol with the long and short lines represents a battery. The longer line indicates the positive terminal (+), and the shorter line indicates the negative terminal (-). Resistors: The symbol with zigzag lines represents a resistor. It restricts the flow of current in the circuit. The values of the resistors are given as 2 Ω, 5 Ω, and 10 Ω. Ammeter (A): This is the symbol for an ammeter, used to measure electric current in the circuit. The current flows from the positive terminal (+) to the negative terminal (-) of the ammeter. Voltmeter (V): This is the symbol for a voltmeter, used to measure the voltage across the 10 Ω resistor. Circuit Description: Circuit Operation: |
Description of the Circuit The diagram illustrates an electrical circuit containing: A battery that serves as the power source. A combination of resistors arranged in a specific configuration of both series and parallel connections. Measuring devices including a voltmeter and an ammeter. The circuit is powered by a 10 V battery, and the total current in the circuit is measured using an ammeter, while the voltage across one of the resistors is measured using a voltmeter. The resistors (2 Ω, 5 Ω, and 10 Ω) are configured in a bridge-like pattern. Electrical Components and Their Symbols Battery: Resistors: Voltmeter: Ammeter: Connecting Wires: Configuration of Resistors This combination is connected in series with the 2 Ω resistor. The voltmeter is placed across the 10 Ω resistor, measuring its voltage drop. The ammeter is placed in series with the power source to measure the circuit’s total current. Circuit Functionality This setup provides insights into basic electrical principles like Ohm’s Law and the behavior of resistors in series and parallel configurations. |
Analysis: Both models have recognized the diagram and its components accurately, but both of them missed out on identifying the switch in the circuit. ChatGPT-4o has explained the electrical components in more detail, and in a structured manner, as compared to Gemini Advanced. Gemini’s analysis and explanation of the image follows a more educational tone as if explaining it out of a textbook, to students. Although it inaccurately stated that the voltmeter only measures the voltage across the 10 Ω resistor. On the other hand, ChatGPT has explained the configuration of resistors incorrectly, stating only the 5 Ω and 10 Ω resistors are connected in parallel, while the 2 Ω resistor is also in parallel. So, for this prompt, I would give both the models equal points.
Score: Gemini Advanced: 1, ChatGPT-4o: 2
Analyzing a Graph
Let’s find out how well these models can analyze stock market graphs and give investment advice.
Prompt: Explain the company’s stock graph for a beginner. Highlight the key trends, patterns, and significant price changes. Also, provides insights for a potential investor.
Output:
| Gemini Advanced | ChatGPT-4o |
|
Certainly, let’s break down the Tesla Inc. stock graph for a beginner and highlight the key trends, patterns, and significant price changes. Key Trends and Patterns: Volatility: The stock price has experienced periods of volatility, with significant price swings both up and down. This is common for a high-growth company like Tesla, which often attracts a lot of investor attention and speculation. Recent Surge: The most notable trend is the recent sharp increase in the stock price, leading to a significant peak. This surge could be attributed to various factors, including positive news about Tesla’s products, financial performance, or market sentiment. Significant Price Changes: There have been a few corrections or dips during this period, where the price temporarily declined before resuming its upward trajectory. These corrections are normal in any stock market and can offer buying opportunities for investors. Insights for a Potential Investor: Volatility: Investing in Tesla involves a higher degree of risk due to its volatile nature. It’s important to have a long-term investment horizon and be prepared for price fluctuations. Fundamental Analysis: Before making any investment decisions, it’s crucial to conduct thorough fundamental analysis of Tesla’s business model, financials, and competitive landscape. Diversification: Consider diversifying your portfolio with other investments to manage risk. Disclaimer: This analysis is based on the provided stock chart and does not constitute financial advice. It’s always recommended to consult with a financial advisor before making any investment decisions. |
Explanation of Tesla Inc.’s Stock Graph for Beginners This graph shows the stock price movement of Tesla Inc. over a 6-month period, reflecting its performance on the NASDAQ stock exchange. The graph includes several key trends and highlights that are useful for understanding the stock’s behavior. Key Trends and Patterns Significant Price Spikes: Periods of Consolidation: Consistent Momentum in November–December: Key Observations Positive Growth: Despite fluctuations, the overall trajectory is strongly upward, indicating growth and resilience. After-Hours Trading: The after-hours price of $428.57 (+0.89%) suggests continued demand for the stock even after the market closed. Insights for a Potential Investor Risk Consideration: Entry Point: Diversification: Summary |
Analysis: Both models have accurately analyzed the graph and described Tesla’s 6-month stock graph, but their approaches are significantly different. ChatGPT-4o delivers a highly detailed and structured explanation, breaking the analysis into clear sections like key trends, observations, and investor insights. It uses specific examples and timelines, such as price spikes in July and November, and highlights unique aspects like after-hours trading activity. In contrast, Gemini Advanced offers a more general overview with a focus on broader trends like upward momentum and volatility. Hence, for this task, my vote is for ChatGPT-4o.
Score: Gemini Advanced: 1, ChatGPT-4o: 3
What’s the Verdict?
ChatGPT-4o (powered by DALL-E 3) performed better than Gemini Advanced in this category, generating a more structured and detailed analysis of the images. This was more evident in tasks like describing cityscapes and analyzing stock market graphs. However, Gemini Advanced (powered by Google Imagen 3) provides resources and references for most parts of its responses, ensuring factual correctness.
Imagen 3 vs DALL-E 3: Image Editing
Imagen 3 and DALL-E 3 are not only capable of generating images, but also editing them. Although they don’t offer direct pixel-wise editing, they can recreate edited images based on prompts. This way, they can replace objects in images, merge images together, convert images to different styles, and more. So, let’s try out some of these features and compare the editing skills of these 2 models.
First, I’m going to upload an image from my computer and ask the models to change the colour of an object.
Image:
Prompt: Change the colour of the bag in the image to red.
Output:
Analysis: Both the models have tried recreating the image, incorporating the edit mentioned in the prompt. However, as you can see, the images are quite different from the original. While Google Imagen 3 managed to retain the colour of the bottle as it is, ChatGPT DALL-E 3 replaced the bottle with a completely different one and even poured out some water in a glass. In both cases, the bag was replaced by a new red one (or red and black one, in the case of DALL-E 3). This shows that DALL-E 3 adds more context to an image while Imagen 3 sticks to exactly what is said in the prompt.
Score: Imagen 3: 1, DALL-E 3: 1
Observations and Final Verdict
With that, we come to the end of the Imagen 3 vs DALL-E 3 battle. Both GenAI models have proven to be remarkable with their unique strengths in image generation, analysis, and editing. Google Imagen 3 shines in producing hyper-realistic images and adhering closely to prompts, making it an excellent choice for applications requiring precision and realism. On the other hand, ChatGPT DALL-E 3 excels in imaginative illustrations and creating context-rich outputs, making it ideal for creative tasks and fantasy-themed projects. However, both the models have a lot more to improve on when it comes to editing images.
Here are some other points I observed while trying out these models:
- Google Gemini Advanced currently does not allow users to generate, edit, or analyze images of people, including medical images. Although, this is a right move in the direction of ethical AI, it limits the applications of Imagen 3.
- Another drawback of Gemini Advanced is that it cannot directly edit images. It can only use Imagen 3 to recreate images similar to reference images. On the other hand, ChatGPT-4o at least attempts to directly edit images with ChatGPT DALL-E 3, although unsuccessful.
- ChatGPT-4o supports uploading multiple images for comparative analysis and style transfer, which is not possible in Gemini. The latter can only take in one file at a time as input, further limiting the applications of Google Imagen 3.
- Both the models were unable to generate accurately labelled diagrams, sensible flowcharts, or images with text in them.
- Many a times, Gemini responded with a text that reads “Here is the image with…” but without any image. I hope this is just a temporary glitch and gets resolved soon.
Conclusion
The choice of Google Imagen 3 vs DALL-E 3 ultimately depends on the user’s specific needs. For those looking for precise, realistic image outputs, Imagen 3 is the better option. Conversely, for imaginative and creative image generation or tasks requiring rich context, DALL-E 3 outperforms. Both models, however, still have room for improvement, especially in tasks like accurately labeling diagrams, generating text within images, or editing images.
Also Read: Beginners Guide to Expert Prompt Engineering
Frequently Asked Questions
A. Imagen 3 focuses on creating hyper-realistic images with precise attention to detail, while DALL-E 3 excels in imaginative illustrations and context-rich outputs.
A. Imagen 3 is better suited for creating realistic images, as it closely follows prompts and generates visuals with detailed textures.
A. Yes, DALL-E 3 is better at generating creative and artistic illustrations, particularly for fantasy and imaginative themes.
A. ChatGPT-4o provides a more detailed and structured explanation of images, while Gemini Advanced offers simpler and more general overviews.
A. Imagen 3 adheres more closely to the given prompts during editing tasks, whereas DALL-E 3 adds contextual elements but sometimes deviates from the original prompt.
A. Both models struggle with tasks like generating text within images or accurately labeling diagrams. Additionally, Imagen 3 cannot analyze or edit images of people, limiting its applications.
A. Yes, both models are suitable for commercial use, depending on the requirements. Imagen 3 is ideal for realistic visuals, while DALL-E 3 is better for creative and artistic purposes.
A. DALL-E 3 offers more versatility for a wider range of tasks, including imaginative illustrations and context-driven image generation, while Imagen 3 specializes in realistic image outputs.
Sabreena Basheer is an architect-turned-writer who’s passionate about documenting anything that interests her. She’s currently exploring the world of AI and Data Science as a Content Manager at Analytics Vidhya.