GPT-4-vs-GPT-4-Turboo

GPT-4 vs GPT-4 Turbo: What’s the Difference?

OpenAI’s GPT series has always pushed the limits, showing us new ways that AI can understand and mimic human speech. This has truly changed how text is created, like nothing we’ve seen before. The launch of GPT-4 and GPT-4 Turbo captured the interest of both AI experts and regular users.

Both versions improve AI’s language comprehension, but they have different focuses – GPT-4 digs deeper into understanding context, while GPT-4 Turbo is all about being fast and efficient. This shows OpenAI’s diverse way of making things and how each model stands out. 

Let’s learn about the differences between GPT-4 and GPT-4 Turbo in more detail.

difference gpt4 vs gpt turbo

GPT-4: A Multimodal Powerhouse

GPT-4 is the best because it can understand both words you type and pictures you show it, and then it talks back with text answers. This ability to deal with different kinds of information makes it useful for many things.

Key Features of GPT-4

  • Context Window: The GPT-4 can manage up to 128,000 tokens, which are equal to about 300 pages of text. It will be able to cover this wide section and perceive complex data due to the context window that will keep it in the flow of the text even for a longer time.
  • Knowledge: GPT-4’s knowledge is up to date as of April 2023 and it’s a quite big leap when compared with its predecessors regarding the relevancy of the information.
  • Advanced Reasoning: This system is appreciated for its reasoning powers that let it do a range of jobs with very high accuracy.
  • Cost: While GPT-4 is highly capable, it comes at a premium cost for developers, which might limit its accessibility.

GPT-4 Turbo: The Upgraded Version

The GPT-4 Turbo is an upgrade of the GPT-4, improving the aspects of the GPT-4 that were most appealing for developers and users.

Key Features of GPT-4 Turbo

  • Larger Context Window: Similar to GPT-4, GPT-4 Turbo can process up to 128,000 tokens, which is capable of handling texts of all lengths and staying in context even over long conversations.
  • Multimodal Input: GPT-4 Turbo can process both text and image inputs, so it has a broader range of use cases. Therefore, it can be more flexible.
  • Updated Knowledge: The knowledge base of GPT-4 Turbo is up-to-date till December 2023, guaranteeing a more recent database when producing the responses.
  • Cost-Effective: Economically, GPT-4 Turbo outperforms GPT-4 being 3 times cheaper to run which is a better solution for developers and businesses.
  • Preview Availability: GPT-4 Turbo is available in preview mode now and hence, programmers can experiment with it and incorporate it into the applications they develop now.

Also Read:  How to integrate ChatGPT into an app?

GPT-4 vs GPT-4 Turbo

FeatureGPT-4GPT-4 Turbo
Context Window128,000 tokens128,000 tokens
Multimodal InputText and imageText and image
Knowledge Cutoff DateApril 2023December 2023
CostPremium3 times cheaper
AvailabilityFully availablePreview mode

Main Differences 

  • Knowledge Cutoff Date: GPT-4 is familiar with the current state of affairs as of April 2023, whereas GPT-4 Turbo extends this to the events taking place in December 2023.
  • Cost: The GPT-4 Turbo is much less expensive to run than its GPT-4 counterpart. It therefore becomes more financially attractive and cost-effective for developers and businesses alike.
  • Availability: GPT-4 has been made available to everyone, while GPT-4 Turbo is in the preview mode, which means that it may be rolled out for wider use at a later stage.
  • Advanced Reasoning: As models with superior logic, GPT-4 Turbo implements the advanced capabilities of GPT-4.
  • Multimodal Input: Concerning GPT-4 and GPT-4 Turbo, they can be provided with text and image inputs to make them custom-made for different purposes.

Conclusion

GPT-4 and GPT-4 Turbo, in addition to each having greater capabilities, are making the boundaries of AI technology move forward. The greatest strength of GPT-4 is its multimodal ability and its large context window, while GPT-4 Turbo offers better cost-effectiveness, more knowledge, and is in a preview mode. Based on your needs, one model might offer a particular advantage, either clever thinking, keeping knowledge up to date, or cost-effectiveness.

In the end, the decision between GPT-4 vs GPT-4 Turbo will be a function of your specialized requirements and budget. The AI keeps on getting better and improving, both models are going to have a consequential role in the future of technology.

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Advait Upadhyay

Advait Upadhyay (Co-Founder & Managing Director)

Advait Upadhyay is the co-founder of Talentelgia Technologies and brings years of real-world experience to the table. As a tech enthusiast, he’s always exploring the emerging landscape of technology and loves to share his insights through his blog posts. Advait enjoys writing because he wants to help business owners and companies create apps that are easy to use and meet their needs. He’s dedicated to looking for new ways to improve, which keeps his team motivated and helps make sure that clients see them as their go-to partner for custom web and mobile software development. Advait believes strongly in working together as one united team to achieve common goals, a philosophy that has helped build Talentelgia Technologies into the company it is today.
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