Claude Gems vs ChatGPT GPTs: Which Custom AI Tool System Is Better?

Two Custom AI Systems Worth Comparing

Building a personalized AI assistant used to require engineering resources. Now, both Google and OpenAI offer no-code tools that let anyone create a reusable AI with custom instructions, context, and behavior. Google calls them Gems. OpenAI calls them GPTs.

The Gemini Gems vs ChatGPT GPTs comparison matters because these systems are priced almost identically — around $20/month — but they’re built on fundamentally different assumptions about what a custom AI tool should do. One prioritizes depth and extensibility. The other prioritizes simplicity and ecosystem fit.

This guide compares both systems across setup experience, customization depth, tool access, Google Workspace integration, sharing, and pricing — so you can figure out which one actually fits your workflow.

What Each System Actually Is

Before getting into the weeds, it helps to understand the core design philosophy behind each.

ChatGPT GPTs

OpenAI introduced custom GPTs in November 2023 at its first DevDay conference. A GPT is essentially a saved, preconfigured version of ChatGPT — one where you define the persona, the knowledge base, the capabilities, and (optionally) external API connections called Actions.

GPTs live inside ChatGPT. You can keep them private, share them via link, or publish them to the GPT Store where anyone can discover and use them. The system is available to ChatGPT Plus, Team, and Enterprise subscribers, with some limited access on free accounts.

The GPT Builder offers two modes: a conversational setup where you describe what you want and it configures itself, and a manual configuration panel where you control every setting directly. Most experienced users go straight to the manual panel.

Gemini Gems

Google launched Gems in August 2024 as part of Gemini Advanced. A Gem is a customized version of Gemini — you give it a name, write a set of instructions, and optionally enable Google extensions that let it access your Workspace data or Google services.

The creation experience is deliberately simpler than GPTs. There’s no marketplace equivalent to the GPT Store. Gems are primarily personal tools, though Workspace administrators can create Gems and share them across a team or organization.

Gems are available through Google One AI Premium ($19.99/month) and through Google Workspace Business Standard and above. They’re built with Google’s ecosystem in mind, which is either a major advantage or an irrelevant one depending on how embedded in Google’s tools you already are.

Setup and Creation Experience

Building a GPT

Creating a GPT starts at chat.openai.com/create. The form-based configuration panel is where you’ll spend most of your time. Key fields include:

Name and description — What this GPT is called and a short summary
Instructions — The main system prompt, up to roughly 8,000 characters
Conversation starters — Pre-written prompts shown at the start of each chat
Knowledge — Uploaded files (PDFs, Word docs, spreadsheets, text files) that the GPT can reference
Capabilities — Toggle on/off: web search, DALL-E image generation, and Code Interpreter (data analysis)
Actions — Connect external APIs using an OpenAPI schema

The first four are accessible to anyone within a few minutes. Actions require understanding how to write or find an OpenAPI spec, which raises the technical bar significantly.

Overall, building a basic GPT takes 10–20 minutes. Building one with custom Actions and a well-tuned knowledge base can take a few hours, especially the first time.

Building a Gem

Creating a Gem is considerably faster. You navigate to gemini.google.com, click “Gems” in the sidebar, and hit “New Gem.” The interface gives you three things to configure:

Name — What to call it
Instructions — Your system prompt
Google extensions — Enable access to Gmail, Google Drive, Docs, Calendar, YouTube, Maps, etc.

That’s largely it. There are no file upload slots in the Gem builder itself, no custom Actions, and no built-in capability toggles for things like image generation (those are available in the main Gemini interface, not scoped per Gem).

The simplicity makes Gem creation extremely fast — you can have one running in under five minutes. But it also means you hit the ceiling of what you can configure much sooner.

Bottom line on setup: Gems are faster to set up and harder to misconfigure. GPTs take longer and have a steeper learning curve but offer more control from the start.

Customization, Knowledge, and Tool Access

This is where the two systems diverge most significantly.

What GPTs Can Do

GPTs support a meaningful degree of customization across several layers:

Persistent knowledge base. You can upload files directly into the GPT — user manuals, SOPs, research documents, product catalogs — and the GPT will reference them when answering questions. This is genuinely useful for creating specialized assistants that know your specific content.

Built-in capabilities. Three toggles control what tools your GPT can use: web browsing (searches the web for current information), DALL-E image generation, and Code Interpreter (runs Python to analyze data, create charts, manipulate files). You choose which to enable per GPT.

Custom Actions. This is the most powerful feature. Actions let your GPT call external APIs — so it can pull live data from a CRM, submit forms, fetch weather, query a database, or interact with any service that has an API. Setting this up requires an OpenAPI spec, which means some technical knowledge or the ability to find existing schemas. But when it works, it turns a GPT into a genuinely functional workflow tool, not just a smart chatbot.

What Gems Can Do

Gems take a different approach. Rather than giving users fine-grained control over capabilities, they rely heavily on Google’s existing extension infrastructure.

No persistent file knowledge base. Gems don’t have a knowledge file upload system like GPTs do. You can share files in the conversation, and Gemini can read Drive files if you have the Google Workspace extension enabled — but there’s no “upload files to this Gem” mechanic that persists across all conversations.

Google extensions. Gems can be configured to use Google extensions, which include: Google Workspace (Docs, Drive, Gmail, Calendar, Sheets), YouTube, Google Maps, Google Flights, and Google Hotels. These aren’t custom API connections — they’re pre-built integrations provided by Google. Useful if Google’s tools cover your needs, limiting if they don’t.

No custom Actions. There’s no equivalent to GPT Actions in Gems. You can’t connect a Gem to an external API, webhook, or third-party service. If you need Gemini to talk to something outside Google’s ecosystem, you’ll need a separate automation layer.

Comparison at a glance:

Feature	Gemini Gems	ChatGPT GPTs
Custom instructions	Yes	Yes
Persistent knowledge file uploads	No	Yes (multiple file types)
Web search	Via Google Search extension	Toggle (web browsing)
Image generation	Available in Gemini (not per-Gem)	DALL-E toggle per GPT
Code execution	Available in Gemini	Code Interpreter toggle
Custom API connections	No	Yes (OpenAPI Actions)
Google Workspace integration	Deep (native extensions)	Limited (manual uploads or Actions)
Public marketplace	No	GPT Store
Team/org sharing	Via Workspace admin	Team/Enterprise plans

Google Workspace and Ecosystem Integration

This is the area where Gemini Gems have a clear, specific advantage — assuming you live in Google’s ecosystem.

Gemini Gems and Google Workspace

With the Google Workspace extension enabled in a Gem, it can directly access your Gmail, read and edit Google Docs, pull data from Sheets, check your Calendar, and search your Drive. This isn’t a workaround or a manual upload step — it’s a live, authenticated connection to your actual data.

This means you can build a Gem that:

Drafts replies to your emails based on your communication style
Summarizes a Google Doc and pulls out action items
Checks your calendar and drafts a meeting prep brief
Scans a folder in Drive for relevant files before answering a question

The Gemini sidebar that appears inside Google Docs extends this further — you can invoke a Gem directly from inside a document you’re working on. That kind of tight, contextual integration is something ChatGPT simply doesn’t offer natively.

If your work happens primarily in Google Workspace, Gems are meaningfully more useful than GPTs for day-to-day tasks.

ChatGPT GPTs and Google Workspace

GPTs don’t have native Google Workspace connections. To get a GPT to work with Google Docs or Drive, you’d need to either manually upload documents to the conversation, or build a custom Action that connects to the Google API — which requires OAuth setup and some technical configuration.

For users who work heavily in Google Workspace, this is a genuine friction point. You can work around it, but it’s not seamless.

That said, GPTs are better suited for users working across a wider range of non-Google tools — particularly if your stack includes Salesforce, HubSpot, Notion, Jira, or other platforms with published APIs.

Pricing

Both products sit at almost identical price points:

Gemini Advanced (includes Gems): $19.99/month as part of Google One AI Premium, which also includes 2TB of Google storage. Also bundled with Google Workspace Business Standard and above.
ChatGPT Plus (includes GPTs): $20/month. ChatGPT Team costs $25/user/month and adds workspace management features.

If you’re already paying for Google One for the storage, Gemini Advanced is essentially free on top of what you’re already spending. For pure AI value, they’re roughly comparable.

GPTs have a significant structural advantage here. The GPT Store is a functioning marketplace with thousands of published GPTs across categories — productivity, education, coding, writing, research, and more. You can publish your GPT publicly, share it via link, or keep it private.

This matters for two reasons: it means you can find pre-built GPTs for common use cases without building from scratch, and if you’re building tools for others to use, there’s a distribution channel for them.

Gems have more limited sharing. As of 2025, you can share a Gem via link with others who have Gemini access. Google Workspace admins can deploy Gems to their organization. But there’s no public Gems store, no browsing, and no community discovery layer.

Mobile and Cross-Platform Access

Both are available on iOS and Android. Gemini integrates with Android at the OS level — it can replace Google Assistant and has deeper hooks into the device. ChatGPT has a voice mode that’s notably good, particularly with its Advanced Voice capabilities on Plus and above.

For mobile-first use cases, Gemini’s Android integration gives it a natural edge. For voice-heavy use cases, ChatGPT’s voice mode is currently more capable.

Best For: Which System Should You Choose?

There’s no universal winner. The right choice depends on your ecosystem, technical comfort level, and what you need a custom AI to actually do.

Choose Gemini Gems if:

Your work is primarily in Google Workspace (Docs, Drive, Gmail, Calendar, Sheets)
You want something set up in five minutes with minimal configuration
You’re on Google One AI Premium or a Workspace Business plan already
You need an assistant that can pull from your real email and documents in real time
You want something simple to recommend to less technical teammates

Choose ChatGPT GPTs if:

You need to upload specific documents as a persistent knowledge base
You want to connect the AI to external APIs or third-party services via Actions
You need image generation or code execution scoped to a specific assistant
You want to publish a tool publicly in the GPT Store
Your workflows span tools outside of Google’s ecosystem

The Honest Tradeoff

Gems are easier but shallower. GPTs are more powerful but require more setup — and the most powerful features (Actions) require at least some technical knowledge to use well.

Neither system is ideal if you need to build something genuinely complex: multi-step workflows, connections to multiple external systems, branching logic, or agents that take actions autonomously without prompting.

When You Need More Than Either Offers

Both Gems and GPTs are ultimately chat-based customizations. They make a particular AI smarter about a topic or better at accessing certain data. But they’re not workflow automation systems, and they’re not built to connect deeply with the full range of tools a business runs on.

If you find yourself hitting the ceiling — wanting a Gem that can also update a spreadsheet and send a Slack message, or a GPT that can trigger actions across five different platforms without manual setup — that’s where a purpose-built AI agent platform makes more sense.

How MindStudio Fits In

MindStudio is a no-code platform for building AI agents that aren’t locked into a single model or ecosystem. Unlike Gems (which only runs Gemini) or GPTs (which only run on ChatGPT), MindStudio gives you access to 200+ AI models — including Claude, GPT-4o, Gemini, and others — from one place. You can swap models, combine them in multi-step workflows, or use different models for different parts of the same agent.

The more meaningful advantage for users outgrowing Gems or GPTs is the integration layer. MindStudio connects to 1,000+ business tools — HubSpot, Salesforce, Google Workspace, Slack, Notion, Airtable — without requiring you to write OpenAPI schemas or set up OAuth manually. You can build an agent that reads a Docs file, updates a CRM record, and sends a Slack notification, all from a visual no-code builder.

For teams that want AI agents to actually run parts of a workflow — not just answer questions — MindStudio is a more complete solution than either Gems or GPTs offer. Explore how to build your first AI agent to see how it compares in practice. You can try it free at mindstudio.ai.

Frequently Asked Questions

Are Gemini Gems available for free?

No. Gems require a Gemini Advanced subscription, which is part of Google One AI Premium at $19.99/month. They’re also available through Google Workspace Business Standard and higher plans. There’s no free-tier access to Gems as of early 2025, though the standard Gemini interface (without Gems) is available for free.

Can ChatGPT GPTs access Google Drive or Google Docs?

Not natively. GPTs don’t have a built-in Google Workspace integration. To connect a GPT to Google Docs or Drive, you’d need to either upload documents manually or set up a custom Action using Google’s API with an OpenAPI spec. This requires some technical knowledge. For tight Google Workspace integration, Gemini Gems are the more practical choice.

What’s the difference between a GPT’s Knowledge files and how Gems handle documents?

GPTs let you upload files directly into the GPT builder — PDFs, Word docs, text files, spreadsheets — which the GPT references in every conversation. This creates a persistent knowledge base specific to that GPT.

Gems don’t have an equivalent. You can share files in a conversation with a Gem, and if you have the Google Workspace extension enabled, Gems can access your Drive files. But there’s no “upload to this Gem permanently” function. For use cases that depend on a proprietary knowledge base (internal SOPs, product documentation, research), GPTs are better suited.

Can Gems or GPTs run automated workflows without a human prompting them?

Neither is built for truly autonomous or scheduled workflows. Both are conversational — they respond when you initiate a chat. GPTs with Actions can trigger external APIs during a conversation, but they don’t run in the background on a schedule or respond to triggers like incoming emails or webhooks.

For autonomous agents — ones that run on a schedule, respond to events, or chain multiple actions without human prompting — you’d need a dedicated automation platform. MindStudio supports background agents that can run on schedules or trigger from webhooks, which goes beyond what either Gems or GPTs can do natively.

Is the GPT Store worth using?

It depends on your goal. If you’re building a custom AI tool for others to discover and use, publishing to the GPT Store gives you visibility and a distribution channel with no setup cost. If you’re building for personal or internal use, the Store doesn’t add much — you can share via private link instead.

As a user, the Store is useful for finding pre-built GPTs for common tasks (writing, coding, research) so you don’t have to build from scratch. Quality varies widely, so it takes some browsing to find tools that are reliably good.

Can you use both Gems and GPTs at the same time?

Yes. There’s nothing stopping you from subscribing to both Google One AI Premium and ChatGPT Plus. Many power users keep both around — using Gems for Google Workspace tasks and GPTs for everything else. The $40/month total isn’t trivial, but if both tools are earning their keep, the combination covers a wider range of use cases than either alone.

Key Takeaways

Gemini Gems are simpler to set up, offer deep Google Workspace integration, and are the better fit for users whose work lives primarily in Docs, Drive, Gmail, and Calendar.
ChatGPT GPTs offer more customization depth — file-based knowledge, API actions, built-in capability toggles — and are better suited for users who need to connect AI to non-Google tools or need a persistent knowledge base.
Both are priced at ~$20/month and represent good value if you’re already a heavy user of the underlying platform.
Neither is designed for autonomous, multi-step workflows that run without human prompting. For that, look at purpose-built agent platforms.
If you want to build AI agents that use any model, connect to any tool, and run on a schedule — MindStudio is worth a look. It’s free to start and covers a lot of ground that Gems and GPTs don’t.