Top 10 alternatives to ChatGPT

When ChatGPT first debuted in 2022, the AI chatbot took the world by storm. Overnight, Open AI became the new face of the AI revolution. People across the globe began to use ChatGPT to answer history questions, write emails, solve coding challenges, and much more. It seemed that ChatGPT could do almost anything.

Of course, ChatGPT still has the ability to wow us. But the chatbot is not always the best option for companies that want to leverage generative AI. Enterprise companies have priorities that ChatGPT isn’t always suited to tackle. That’s why it’s important to understand the alternatives to ChatGPT.

Let’s examine 10 alternatives to ChatGPT, including the pros and cons of each solution, along with when it makes sense to use them.

Why You Need to Try a ChatGPT Alternative

While ChatGPT is fast and accessible, it has a number of limitations, especially for large organizations.

While ChatGPT Enterprise adheres to certain security protocols, it does not guarantee HIPAA, FedRAMP, or other strict compliance requirements without additional controls. Also, ChatGPT does not offer self-hosting options, limiting the ability of companies to provide maximum data security.

ChatGPT does not allow enterprises to fully fine-tune the core model on their proprietary data. While the API is powerful, ChatGPT is also expensive and hard to scale for enterprises running large volumes of queries.

Additionally, ChatGPT is sometimes difficult to integrate into internal systems, 3rd party platforms, and existing models. ChatGPT is also closed source, making it more difficult to customize.

With these limits in mind, let’s now discuss alternatives to ChatGPT, particularly as they relate to enterprise businesses.

ChatGPT Alternatives

1. Stack AI

Stack AI is a no-code builder platform that enables enterprise teams to create AI agents to solve business use cases. With Stack AI, customers can create chatbots that answer queries with a flexible variety of LLMs. Customers can customize their chatbots using Stack AI’s agent builder, allowing them to create bespoke interfaces.

Using a drag-and-drop interface, teams can design AI apps and chatbots powered by popular LLMs such as o3-mini, DeepSeek (US hosted), and Perplexity. Teams can fully customize their AI agents for their use cases, including IT support bots, physician assistants, and call center auditing agents.

Stack AI is built for enterprise use cases. Security implementations include GDPR, SOC 2 Type II, and HIPAA. Stack AI also allows companies to self-host, with on-premise hardware, adding another layer of data privacy.

Additionally, Stack AI offers enterprises faster development cycles. Teams can deploy LLMs, logic, and workflows with a simple point-and-click interface. Also, Stack AI allows teams to use most of the LLMs listed in this article. Stack AI’s ability to employ multiple LLMs in a single chatbot allows for maximum flexibility.

2. Claude

Claude is an AI chatbot powered by Anthropic. Designed with Constitutional AI, Claude reduces harmful and biased outputs to adhere to ethical guidelines, and also offers enterprise-grade security.

Claude can also analyze long-context documents, such as contracts and research reports. Additionally, Claude can help draft blogs, technical documents, legal summaries, and other documents. The chatbot can also eliminate manual tasks in content generation, data analysis, and customer support.

However, Claude does not offer the ability to switch between LLMs, or customize the chatbot interface.

3. Google Gemini

Google Gemini is a generative AI chatbot, launched in 2023 to compete with Open AI’s ChatGPT. Formerly known as Bard, Gemini offers different advantages to enterprise businesses.

For starters, Gemini’s integration with the Google Workspace suite allows for seamless analysis of emails, documents, and other assets. Gemini also offers multimodal capabilities, allowing it to process text, code, images, video, and audio.

This is an improvement from models such as GPT-4, which can only analyze text. Furthermore, Gemini’s AI safety and compliance measures make the model effective for industries with tight regulation.

However, Gemini does not have a builder function or customization options. Users cannot switch between LLMs to answer questions. It is capable of integrating with OLTP databases such as Postgres and data warehouses such as Snowflake.

4. Microsoft Copilot

Microsoft Copilot Chat, a feature within Microsoft 365, provides a structured and unchangeable chat interface that enables users to interact with OpenAI’s GPT-4o, the sole available model. It is accessible through the Microsoft 365 panel via the sidebar.

Designed for seamless integration with Microsoft’s ecosystem, Copilot Chat works natively with Word, Excel, PowerPoint, Outlook, Teams, and SharePoint, some of the most widely used business applications.

However, unlike StackAI, Copilot Chat does not offer any customization. Elements such as the title, description, avatar, and conversation starters are predefined, and users cannot modify the interface or incorporate their own knowledge base.

Users can only select from a predefined list of agents provided by Microsoft. While this list is extensive, it lacks certain key integrations, including:

• Sending Gmail messages directly from chat
• Accessing real-time financial data from Yahoo Finance

Moreover, users cannot create custom agents or adjust existing ones. Every agent functions according to Microsoft’s preset rules, meaning:

• Agent behavior cannot be fine-tuned (e.g., setting conditions for when it should activate).
• New integrations cannot be added if the required tool is not available.

Additionally, Copilot Chat does not support model customization or advanced settings. It is strictly limited to GPT-4o, without the option to switch models or adjust AI behavior.

5. Meta AI

Meta AI assistant is Meta’s AI chatbot, incorporated across its apps, including Facebook, Instagram, and Messenger. Meta AI leverages the Llama models, Meta’s open source LLMs.

Meta AI enables integration with the Meta’s suite of products, streamlining marketing, customer service, and brand interactions. Meta AI can also generate ad copy, social media posts, and automatic replies. Most impressively, businesses can use Meta AI to create high-quality images, videos, and text content.

However, Meta AI lacks privacy controls such as HIPAA, lacks robust integrations, and offers no customizations for UIs or LLMs.

6. HuggingChat

HuggingChat, the chatbot offering based on the HuggingFace, is another alternative to ChatGPT.

As an open source chatbot, HuggingChat allows companies to customize models for their specific use cases. HuggingChat also allows companies to self-host their models, enabling stronger data security.

Additionally, the ability to deploy on self-hosted infrastructure can lead to more cost-efficiencies. HuggingChat can integrate with many different 3rd party systems, empowering teams to augment their existing workflows with AI.

But HuggingChat lacks enterprise-grade security, robust integrations, and offers minimal customizations.

7. Perplexity AI

Perplexity AI is a conversational search engine that answers questions using online sources. Unlike AI chatbots such as ChatGPT, Perplexity AI can access sources from the web, and cites URLs in its answers.

Enterprise teams can also use Perplexity AI to search internal company knowledge bases, documents, and proprietary databases. Additionally, Perplexity has enterprise-grade research capabilities, and offers self-hosting and compliance guarantees.

On the downside, Perplexity lacks enterprise data protection, key integrations, and features no builder or customization capabilities.

8. Mistral

Mistral’s chatbot — ‘Le Chat’ — is an AI chatbot built on Mistral AI’s language models. Mistral AI is known for developing open-weight, high-performance language models, making their chatbot a flexible alternative to proprietary AI solutions like OpenAI’s ChatGPT or Google Gemini.

Mistral’s chatbot is designed for businesses, developers, and researchers who need more control over AI behavior and data privacy. Unlike many commercial AI chatbots, it allows for fine-tuning, self-hosting, and integration into custom applications.

But Le Chat is lacking in enterprise data protections, and does not allow you to customize the LLM.

9. Grok

Grok is a generative AI chatbot created by xAI. Launched in 2023, Grok is available as a standalone app and on the X platform. Grok is known for “having a sense of humor” in comparison to other chatbots, and less stringent response moderation policies.

Grok is a multi-modal model, and can also create images using text-to-image descriptions via Aurora. With web access, Grok can generate responses for enterprise businesses based on real-time data. Grok is also valuable for enterprises that need chatbots with more engaging, dynamic personalities.

Grok lacks privacy protections such as HIPAA and cannot connect to popular databases or data warehouses. Also, customizing the LLM or UI is not possible.

10. DeepSeek

DeepSeek launched its AI chatbot on January 10, 2025. It quickly became the most downloaded app in the Apple app store, rapidly surpassing ChatGPT.

Although some American companies are hesitant to use DeepSeek, there are several misconceptions about the model:

• DeepSeek is open source, there are no backdoors for government snooping.
• You can distill DeepSeek on smaller models, such as Llama.
• Performance is at parity with top US models, including o3-mini.

Enterprise companies can always use US hosts for DeepSeek, to avoid the complications of using overseas hosts.

But inherent privacy protections such as HIPAA are not available, and DeepSeek lacks a native builder tool to facilitate chat clients.

Stack AI: All the ChatGPT Alternatives in One Place

Each of the chatbots in this article comes with its own advantages, but using just one requires a series of tradeoffs. However, with Stack AI, you can leverage most of the LLMs mentioned in this article, in a single no-code platform.

Send your inputs to multiple LLMs, or easily toggle between them, to deliver the experience your end users need. And do it full security compliance for enterprises, including SOC II Type 2, HIPAA, and GDPR.

Stack AI allows you to build AI agents for enterprise teams with a no code platform — and always leverage the LLM of your choice.