Chat GPT vs Einstein GPT
Table of Contents

Planning to integrate AI into your business processes in 2024? You’re not alone. According to a recent Forbes study, over 60% of business owners believe AI will significantly boost productivity. But this leads to a crucial question: which AI solution is right for your business? This post is dedicated to helping you find that answer. We’ll navigate the key factors such as your available data sets, industry specifics, AI limitations, and budget constraints. Let’s start! 



Developer: OpenAI  

OpenAI, a trailblazer in AI research, is the force behind ChatGPT. Renowned for pushing the boundaries of machine learning, OpenAI’s creation, ChatGPT, stands as a versatile AI model. It utilizes the GPT (Generative Pre-trained Transformer) framework, enabling it to process and generate human-like text. Its broad application spectrum, ranging from conversational interfaces to content generation, reflects OpenAI’s commitment to developing AI that is both powerful and adaptable to various use cases. 

Einstein GPT 

Developer: Salesforce  

Einstein GPT is crafted by Salesforce, a powerhouse in the CRM domain. Salesforce’s venture into AI through Einstein GPT marries their deep CRM expertise with advanced AI technology. Tailored specifically for business and CRM applications, Einstein GPT leverages Salesforce’s extensive data and insights. This specialization makes it a formidable tool for businesses that are ingrained in the Salesforce ecosystem, offering solutions that are not just advanced but also highly relevant to customer relationship management

1. Training Data: The Backbone of AI Capabilities 

Think of training data as the school textbooks for AI. Just like how the quality of textbooks can influence a student’s knowledge, the type of data used to train an AI determines what it knows and how well it can handle different tasks. In this section, we’ll compare what ChatGPT and Einstein GPT have been ‘taught’ with their training data and how this shapes their abilities


ChatGPT is a general-purpose conversational AI, but what exactly does that mean? It means it’s trained on a diverse dataset encompassing a wide range of topics, from everyday knowledge to specialized domain expertise. This extensive training makes ChatGPT a highly versatile tool, adept at engaging in a variety of interactions. 

Einstein GPT 

On the other hand, Salesforce’s Einstein GPT is specialized, focusing on CRM and business processes. Its training is tailored to industry-specific data, equipping it to excel in personalized customer interactions within the Salesforce ecosystem

2. Application Areas: Specialization and Versatility 

This is about where each AI shines the brightest. It’s like comparing two athletes: one might be a decathlete, good at many things (like ChatGPT), and the other might be a specialized sprinter, excelling in more specific areas (like Einstein GPT for CRM tasks). We’ll explore the specific ‘events’ or tasks each AI is best suited for


ChatGPT’s generalist approach allows it to adapt to numerous fields such as customer service, research, data analytics, coding, and content creation. Its broad applicability makes it suitable for businesses looking for a multi-purpose AI

Einstein GPT 

Einstein GPT, however, is designed for CRM applications, thriving in personalizing customer experiences and automating sales and marketing workflows, particularly for Salesforce users. 

3. Limitations: Understanding the Boundaries 

No AI is perfect. They have their own strengths and weaknesses, much like how every tool has its limitations. In this part, we’ll discuss what ChatGPT and Einstein GPT might not be as good at, like staying current with the latest information or operating outside their specialized domains. 


ChatGPT, while adaptable, may lack depth in industry-specific knowledge. As of April 2023, its knowledge base remains static and may not provide the latest information in niche domains. 

Einstein GPT 

Einstein GPT’s strength within the Salesforce ecosystem might be limiting for businesses operating outside it. Its effectiveness is reliant on the quality of Salesforce data it accesses. 

4. Data Security: Ensuring Confidentiality and Integrity 

The focus here is on how each AI model protects your data. It’s akin to understanding the security measures different professionals take to protect sensitive information. Both ChatGPT and Einstein GPT prioritize data security, but their approaches and emphasis may vary based on their different applications and the nature of the data they handle. 


ChatGPT is designed with a focus on data security, aligning its operations with various data protection regulations. This commitment to security makes ChatGPT a trusted tool for businesses concerned about safeguarding their data privacy. OpenAI’s approach likely includes standard industry practices for data protection, such as encryption and secure data handling

However, there are inherent risks associated with ChatGPT’s learning model, including the possibility of data leakage from its extensive training datasets. Also, with the integration of external data sources through plugins, there could be additional challenges in ensuring the secure handling and privacy of the accessed information 

Einstein GPT 

Einstein GPT places a strong emphasis on security because it involves a company’s most valuable asset: their data. This is particularly crucial within the context of its CRM platform. The Einstein Trust Layer, a part of Salesforce’s AI Cloud, provides robust security features like data masking, secure data retrieval, and a zero-retention architecture, ensuring the protection and privacy of CRM data. 

This architecture is specifically designed to prevent large-language models from retaining sensitive customer data, addressing key concerns in data privacy and security within the Salesforce ecosystem. 

5. Costs: A Crucial Factor in Decision Making 

In this final section, we take a closer look at the financial implications of integrating ChatGPT or Einstein GPT into your business. Like weighing the cost-benefit of any significant investment, we break down the pricing models for ChatGPT, including its free and Plus versions, and discuss the potential costs associated with Einstein GPT, especially for businesses heavily invested in the Salesforce ecosystem. 


ChatGPT offers a free version, while its ChatGPT Plus, introduced in February 2023, retails at $20 per month. This Plus version provides access to GPT-4, image generation with DALL-E, and other advanced features. And take into account: There is no annual subscription

Einstein GPT 

Einstein GPT’s pricing is tailored to the specific characteristics and needs of the enterprise interested in the service. Typically, businesses can engage with a Salesforce executive to discuss pricing details. Given its specialization and seamless integration with Salesforce, Einstein GPT might be priced higher than more generalized solutions like ChatGPT. However, for businesses deeply integrated with Salesforce, investing in Einstein GPT could offer substantial returns due to its customized functionality and alignment with their existing systems. 

ChatGPT Enterprise 

There is a third option: For businesses seeking more advanced functionalities, ChatGPT Enterprise offers a suite of features designed for commercial use. This includes enterprise-grade security, unlimited high-speed GPT-4 access, and longer context windows. OpenAI has adopted a flexible pricing model for this service, customizing costs based on each business’s needs and scale

Who Is the Winner? 

For businesses seeking a general AI solution that is cost-effective and adaptable to a range of applications, ChatGPT is the recommended choice. It’s particularly suitable for SMEs or businesses exploring AI integration without a significant budget allocation. 

For companies that are already integrated with Salesforce and need an AI solution that specializes in CRM, Einstein GPT is the ideal choice. Its tailor-made functionalities for CRM processes can provide significant value, despite potentially higher costs. 

Businesses with specific enterprise-level requirements, needing advanced features like extended context windows and high-speed access to the latest GPT model, should consider ChatGPT Enterprise. This option is particularly apt for larger organizations or those with specific compliance and security needs. 

In conclusion, the decision should align with your business’s unique requirements, considering factors such as existing systems (like Salesforce integration), the scale of AI deployment, and budget constraints. Both ChatGPT and Einstein GPT offer compelling benefits, but their value is maximized when aligned with your business’s specific needs and context. 

If you found this guide useful and want to stay updated with similar content, we invite you to follow us on LinkedIn. We regularly share valuable resources like guides, infographics, articles, and more to help you navigate the evolving landscape of business and technology. 

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