GPT-4 vs GPT-4 Turbo: Which one to Use?

After creating sensations in the artificial intelligence world, OpenAI's GPT (Generative Pre-trained Transformer) models have consistently improved. The latest iterations of the ChatGPT-4 and then Turbo models continue to redefine what AI can achieve, influencing a wide range of applications from natural language processing to AI ethics. In this blog, we will be understanding both models of chatgpt, their features, and their differences.

What is ChatGPT-4?

ChatGPT-4 is built by OpenAI after extensive research and feedback from the deployment of previous versions. Uses of previous models have highlighted the need for improved accuracy, context understanding, and safety in AI responses.

The launch of ChatGPT-4 marked a significant milestone in AI capability, integrating enhanced datasets, fine-tuning methodologies, and safety measures to ensure more reliable and contextually aware outputs.

What is ChatGPT-4 Turbo?

It is openai's latest generation model. It’s more capable, has an updated knowledge cutoff of April 2023, and introduces a 128k context window (the equivalent of 300 pages of text in a single prompt). The model is also 3X cheaper for input tokens and 2X cheaper for output tokens compared to the original models. The maximum number of output tokens for this model is 4096. - OpenAI

4 Turbo is an enhanced version designed to offer a more efficient and scalable solution.

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Key Features:

GPT-4 features that are add-ons to previous models are:

• Enhanced Multimodal Capabilities: It is not just a language model; it supports multimodal inputs -text and images. This feature enables chatbot-4 to understand and generate responses based on a combination of data types.
• Expanded Knowledge Base: previous models were trained on data till June 2021, while 4 offers a broader understanding of topics and current events up to its last training data till Apr 2023.
• Improved Context Handling: It can manage longer conversational contexts, which allows for more coherent and contextually relevant conversations over extended interactions.
• Safety and Bias Mitigations: OpenAI is making significant efforts to reduce harmful outputs and biases in the model, promoting safer and more responsible AI usage. This can be observed in chatGPT-4.

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Features of Turbo:

• Optimized Performance: It is ideal for real-time applications as it is optimized for speed and lower latency responses.
• Cost Efficiency: It has broader adoption and integration into diverse applications because it provides a more cost-effective solution for developers and businesses.
• Adaptive Learning: While maintaining the core capabilities of 4, the new variant enhances personalized interaction experiences by adjusting more dynamically to user inputs.
• It has been trained on data until April 2023 and can handle text-to-speech prompts. Its context window can take 128,000 tokens, the highest amount available in a previous version. The more tokens a model can accept, the more text a user may enter into the model to provide additional context and improve the results.

Difference between GPT-4 and 4 Turbo

Though both are built on the same basic framework and follow the same key ideas, there are important differences between them:

• Speed and Efficiency: The new version is designed to work much faster and more efficiently than ChatGPT-4. This makes it a better choice for when you need quick responses and can handle lots of tasks at once.
• Better Accuracy: The later one is more precise and accurate in understanding and creating text. This is because it uses improved algorithms and more sophisticated ways of learning.
• Flexibility: Turbo can do a wider variety of jobs and adjust to different situations better than 4. It knows more words and can learn to respond based on the task at hand.
• Practical Uses: Both versions of ChatGPT are great for many different uses, but the later shines in situations where you need speed, like chatbots that talk to customers, digital helpers, and systems that create content by themselves.

ChatGPT-4 and 4 Turbo - how are they changing the AI landscape?

The introduction of both ChatGPT models represents a significant milestone in AI technology. These models, along with automating tasks, are key components in driving innovation across sectors including healthcare, finance, education, and entertainment. Since these models can process and generate human-like text, it has given wings to new possibilities for enhancing productivity and creativity.

As we look to the future, the potential for both ChatGPT models in transforming industries continues to expand. The ongoing development of these models will likely focus on further enhancing safety features, reducing biases, and improving interaction capabilities.

ChatGPT-5: Know its Releasing date , Features, Price

GPT-5 serves as a creative brainstorming partner - Sam Altman

Summary

With every new version of ChatGPT, we are breaking the boundaries of what machines can achieve. The journey of ChatGPT-4 and its variants is not just about technological advancement but also about shaping a future where AI and humanity evolve in harmony.

Suggested Read: How to use GPT-4o for free

Frequently Asked Questions(FAQs)

Which is better, GPT-4 or 4 Turbo?

It depends on what you are using it for. If you are using chatgpt for complex tasks that require detailed knowledge, then use GPT-4. But if your priority is speed and cost-efficiency, use 4 Turbo.

Is Turbo worse?

Not at all. it's just designed with a different focus – prioritizing speed and efficiency.

Is ChatGPT-4 Turbo cheaper than GPT-4?

According to OpenAI, GPT-4 Turbo costs less for developers to use. Overall, the newer model is 3 times cheaper than previous versions.

Is Turbo free?

It comes with the cost. However, you can use ChatGPT-4 for free with Merlin

Is Chat GPT-4 turbo faster than GPT-4?

Yes, It is faster than 4. It is designed to deliver quick responses for applications requiring immediate feedback.

Is turbo slower?

No, It is not slower. It's the faster variant of the ChatGPT-4, optimized for rapid processing and efficiency.

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