Claude vs. ChatGPT: Which AI Model is Best for Your Business?

17 October 2024
9 min read
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Choosing from Claude AI vs ChatGPT is a significant business decision. Discover their differences and best use cases.

Over the past few years, businesses have been rapidly adopting AI to automate and improve their processes. About 64% of businesses expect AI to increase productivity, so the hopes put into AI are huge. Claude AI vs ChatGPT are some of the most commonly utilized options on the market for such purposes. But which one should you use for your particular business objectives? 

In this post, you’ll discover key Claude vs ChatGPT differences, explore their use cases, and find out in what scenarios the Intelliarts team, as software dev experts, would use one or another model. 

Overview of Claude and ChatGPT

Claude AI, developed by Anthropic, is an advanced large language model designed for natural language understanding and interaction. 

Claude AI is named after Claude Shannon, a pioneering figure in information theory. The platform is tailored for business use, particularly in customer service automation, data analysis, and content generation, providing real-time responses. It uses reinforcement learning from human feedback (RLHF) to improve over time, making it a flexible and adaptable tool for a wide range of industries.

At the same time:

ChatGPT, developed by OpenAI, is a large language model designed for natural language processing and understanding.

ChatGPT is based on the GPT (Generative Pre-trained Transformer) architecture and is capable of generating human-like text based on input prompts. ChatGPT can engage in conversations, provide detailed explanations, assist with content creation, and automate tasks like customer support and data analysis. It continuously improves through reinforcement learning and feedback.

Let’s proceed with Claude vs ChatGPT comparison across eight factors in the table below:

Claude AI or ChatGPT: Comparison

Use cases of Claude and ChatGPT in businesses

Now, let’s review particular use cases of Claude AI and ChatGPT in the business environment separately.

When to choose Claude

Claude AI

For the ease of connecting Claude AI or ChatGPT with particular applications across industries, we decided to separately show the best strengths of each model and then reveal how they are applicable in different niches.

So, here’s what Claude AI excels in:

  • Large-scale document processing: Handles long, complex documents efficiently with its high token limit, ideal for contracts or compliance reviews.
  • Summarization of extensive content: Provides concise summaries from large bodies of text.
  • Data-intensive research and analysis: It’s well-suited for synthesizing large, complex datasets or scientific reports. 
  • Real-time decision support: Offers instant insights from extensive data for real-time decision-making.

Now, let’s get to know where it can be recommended to apply Claude AI:

#1 Legal & compliance

This industry requires handling large-scale, complex documents like contracts, regulatory materials, or legal reviews. Here, Claude AI offers a higher token limit compared to ChatGPT and the ability to process vast volumes of text on a level beyond mere summarization. Difference between Claude and ChatGPT shows that Claude AI provides insights from detailed documents more efficiently. 

Example: JP Morgan’s COIN (Contract Intelligence) system uses AI to analyze thousands of legal contracts.

#2 Finance & banking

For sectors that rely on data-intensive research and need to analyze large datasets, such as financial services and banking, Claude AI shines. It can help with processing extensive market reports, financial statements, and regulatory guidelines, making it easier for analysts and compliance teams to interpret vast datasets and gain actionable insights.

Example: BlackRock uses AI tools, including Claude AI, to analyze financial data and optimize investment strategies.

#3 Manufacturing & supply chain management

In industries with complex operations, like manufacturing or supply chain management, Claude AI can serve as a core of automation solutions grounded on real-time data analysis. A combination of big data & AI development can handle operational data, safety protocols, and compliance reports, helping to streamline decision-making and ensure regulatory compliance.

Example: Siemens uses AI-powered tools, including ones powered by Claude AI, to enhance predictive maintenance and optimize supply chains.

So, if your business belongs to one of these industries or deals with one of the mentioned tasks — Claude AI should be your choice. 

When to choose ChatGPT

ChatGPT

Here’s a list of ChatGPT’s best strengths:

  • Creative problem-solving: Generates ideas and strategies for creative tasks like marketing or content creation.
  • Conversational interfaces: Ideal for chatbots and virtual assistants, providing smooth conversational experiences.
  • Content creation: Produces high-quality, personalized content for blogs, social media, and marketing.
  • Code generation and debugging: ChatGPT can generate and debug simple code snippets, helping developers quickly solve coding problems or build prototypes.

Similarly, here are the industries where ChatGPT is employed more frequently:

#1 Marketing, advertising, and creative content

ChatGPT is a go-to solution for businesses that need to generate creative ideas and content. Whether it’s coming up with marketing strategies, creating social media posts, or drafting compelling advertising copy, ChatGPT’s creativity and language capabilities make it a powerful tool for agencies and companies in marketing and advertising. 

Example: BuzzFeed famously employs ChatGPT to produce quizzes, articles, and personalized content for its users, streamlining content creation while maintaining engagement.

Since ChatGPT employs Natural Language Processing (NLP) technologies, you may be interested in exploring additionally NLP use cases benefits and examples.

#2 Customer service & e-commerce

For businesses that handle large volumes of customer interactions, ChatGPT’s conversational capabilities are unmatched. It’s an excellent choice for developing chatbots or virtual assistants to automate customer support, answer inquiries, and provide personalized service in real time. E-commerce companies, in particular, benefit from this as they aim to improve customer experiences with scalable, efficient service.

Example: Instacart utilizes the ChatGPT plugin to power a personal grocery shopping assistant. 

#3 Software development

If you need help with code generation or debugging, ChatGPT is well-suited for the tech industry. It can generate code snippets, explain programming concepts, and even assist in debugging code, making it a valuable tool for developers looking to save time or work through complex coding problems.

Example: GitHub Copilot, powered by OpenAI’s models, assists developers by suggesting code and even debugging issues in real time.

When it comes to the listed industries and applications, ChatGPT can prove itself a better pick than Claude AI.  

Here’s what our expert has to say about Claude AI vs ChatGPT comparison: 

“Both models are strongly capable, and it’s hard to tell for sure whether Claude AI or ChatGPT should be used for NLP, development, automation, or other tasks. I find it exciting to apply both models to discover which one is a better fit.”  — Andry Shutka, ML and big data expert at Intelliarts. 

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Choosing between Claude AI and ChatGPT for development: Our team’s insights

Disclaimer: At Intelliarts, we don’t utilize Gen AI in our customers’ projects unless otherwise discussed. Even on such occasions, Gen AI is utilized purely for some minor process automation purposes and never for actual coding. 

However, our experience using Gen AI models on research and development projects, intended to validate certain assumptions and test particular technologies, allows us to share some insights. For example, we explored the approaches and benefits of using ChatGPT for data extraction tasks in one of our research projects. 

And if you’re looking for ways to connect AI technology with your actual business objectives, read how to use AI proof of concept in another of our blog posts. 

From a technical perspective, it’s possible to compare different models of Claude vs ChatGPT 4 and ChatGPT 3.5 by specific benchmarks. The results of such a comparison are shown in the table below: 

Claude AI vs ChatGPT: Technical benchmark comparison

Based on the benchmarks, Claude outperforms ChatGPT on any code and logic tests. In practice, the difference between the highest-performing Claude and GPT models is less notable. Still, both Gen AI are being improved rapidly, so in the near future, the situation may change. 

Our experience shows that you can rely on Claude AI on the following matters:

  • Data-intensive tasks. Since ChatGPT is much more limited in its maximum token size, there is no other choice but Claude AI for processing intensive data. 
  • Processing specialized niche reports. Claude AI is less prone to errors and inaccuracies. Combined with, once again, a larger token limit, it makes Claude AI a far better choice for any report summarization or generation-related tasks.

Should we need to use AI for working processes, ChatGPT would be our choice in the following scenarios:

  • All forms of assistance to customers. Claude AI is not a user-friendly AI. It’s suited more to industry professionals rather than for assisting regular users. It’s because of the way it processes and outputs information. At the same time, ChatGPT excels here.
  • Code assistance. Frankly enough, ChatGPT happens to find solutions to some minor development-related issues more effectively and with less prompt engineering effort needed. It’s also easier to use when it’s needed to modify some data, as it’s less likely to misunderstand such a request. 
  • Creative task assistance. For tasks like generating marketing ideas, creating social media content, or drafting blog posts, ChatGPT proves to be more effective. Its ability to generate creative text and engage in brainstorming sessions makes it a more suitable tool for industries focusing on content creation and innovation.

Additionally, both models work well with extracting info from documents or finding discrepancies between them. Besides, Claude AI features vs ChatGPT show that simple automation tasks, like transferring documents to different storages based on their titles, are flawlessly executed by both AI on most occasions. 

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Final take

The key considerations for choosing Claude AI or ChatGPT bring us to final insights. Claude AI is more suited for data-heavy, document-based tasks as well as analytics. At the same time, ChatGPT is more commonly employed for creating problem-solving and in all sorts of solutions that interact with customers. Keeping that in mind, choosing between these two models for your particular process or project should be more straightforward and should easily address your questions like is Claude AI better than ChatGPT or vice versa. 

Here at Intelliarts, with more than 24 years of experience and dozens of successful case studies under our belt, we can help you with an AI-based solution of any complexity. From business and high-tech advisory to end-to-end development execution, we can offer it all and cover any of your business needs.

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Oleksandr Stefanovskyi
Strategic Technology Partner
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