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Choosing Between GPT-4 Turbo and GPT-4o: Evaluating the Best Approach for Chat Functionality in Azure OpenAI

tatsu sei 100 Reputation points
May 31, 2024, 1:33 AM

I am planning to adopt Azure OpenAI into our company. I am confused about how to choose between GPT-4 Turbo and GPT-4o for chat functionality. I can't identify the major differences from the documentation. Both models can handle chat and pictures as a multi-modal AI model. I understand that GPT-4o is cheaper and faster than GPT-4 Turbo, so I think using GPT-4o would be best in our current situation. However, are there any specific use cases where GPT-4 Turbo is better than GPT-4o and considered the most representative?

Azure OpenAI Service
Azure OpenAI Service
An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
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  1. AshokPeddakotla-MSFT 35,096 Reputation points
    May 31, 2024, 2:26 AM

    tatsu sei Greetings!

    I can't identify the major differences from the documentation. Both models can handle chat and pictures as a multi-modal AI model. I can't identify the major differences from the documentation. Both models can handle chat and pictures as a multi-modal AI model.

    Choosing between the GPT-4 turbo and GPT-4o depends on the specific use case you are working on. Please check the below information for differences and you can choose depending on the capabilities.

    GPT-4o is the latest model from OpenAI. GPT-4o integrates text and images in a single model, enabling it to handle multiple data types simultaneously. This multimodal approach enhances accuracy and responsiveness in human-computer interactions. GPT-4o matches GPT-4 Turbo in English text and coding tasks while offering superior performance in non-English languages and vision tasks, setting new benchmarks for AI capabilities.

    Features and Capabilities

    • Multimodal Inputs and Outputs: GPT-4-o accepts and emits a variety of data types, setting it apart from earlier models that were limited to text. This makes it an "omni" model, capable of more complex tasks that mirror human interaction with various forms of data.
    • Improved Token Generation Speed: GPT-4-o is reported to generate tokens twice as fast as GPT-4 Turbo, enhancing its efficiency and making it suitable for real-time applications.
    • Cost-Effectiveness: Despite its advanced capabilities, GPT-4-o is more affordable than its predecessors. The API costs have been significantly reduced, making it accessible for a broader range of users and developers.
    • Enhanced Vision Capabilities: Compared to previous models, GPT-4-o has improved vision capabilities, allowing it to handle tasks involving image recognition and manipulation with greater finesse.

    I understand that GPT-4o is cheaper and faster than GPT-4 Turbo, so I think using GPT-4o would be best in our current situation. However, are there any specific use cases where GPT-4 Turbo is better than GPT-4o and considered the most representative?

    Your understanding is correct interms of cost effective. GPT-4o is engineered for speed and efficiency. Its advanced ability to handle complex queries with minimal resources can translate into cost savings and performance.

    Also, check GPT-4o and GPT-4 Turbo for more details and differences. I haven't found specific use cases between GPT-4 turbo and GPT-4o. However, below information will help you understand more about the GPT-4o model.

    GPT-4o opens numerous possibilities for businesses in various sectors: 

    1. Enhanced customer service: By integrating diverse data inputs, GPT-4o enables more dynamic and comprehensive customer support interactions.
    2. Advanced analytics: Leverage GPT-4o’s capability to process and analyze different types of data to enhance decision-making and uncover deeper insights.
    3. Content innovation: Use GPT-4o’s generative capabilities to create engaging and diverse content formats, catering to a broad range of consumer preferences.

    Real-world Applications:

    The implications of GPT-4-o's capabilities are vast. Here are just a few potential applications:

    • Language Translation: With its efficient tokenization, GPT-4-o could provide near-instantaneous translation across multiple languages, breaking down communication barriers.
    • Content Creation: The model's ability to handle text and images makes it an excellent tool for content creators, enabling the generation of rich multimedia content.
    • Educational Tools: GPT-4-o could revolutionize online learning by providing interactive multimodal content that adapts to various learning styles.
    • Accessibility Features: The model can convert speech to text and vice versa, offering new tools for individuals with disabilities to interact with technology.

    You can also check this blogpost to understand more about the new capabilities GPT-4o offers.

    Do let me know if that helps or have any other queries.

    If the response helped, please do click Accept Answer and Yes for was this answer helpful.

    1 person found this answer helpful.

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  1. marketing 0 Reputation points
    Nov 22, 2024, 9:15 AM

    GPT-4 Turbo is faster and more efficient, making it a good choice for applications that need quick responses and can handle more complex tasks. GPT-4o is cheaper and faster, but it's better suited for simpler tasks or situations where cost is a bigger concern. If you need more precision and performance, GPT-4 Turbo is the better option. And For Windows 11 pro keys, S2KEYS is a reputable Microsoft partner.

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