ChatGPT Team vs Claude Team 2026: $30 vs $25 Per Seat Compared
When you're picking an AI tool for a team, the per-seat price is just the starting point. What matters is what you actually get for those seats, how the admin experience works, what happens to your data, and whether the tool fits the way your team works.
ChatGPT Team and Claude Team are the two most-evaluated options right now for knowledge work teams. Here's how they actually compare.
The basic pricing
ChatGPT Team is $30/seat/month billed annually ($25/seat if you're on monthly billing, but that reverses the normal billing logic). The minimum is 2 seats.
Claude Team is $25/seat/month billed annually. Minimum is also 2 seats.
That $5/seat/month difference adds up. At 10 seats over a year, you're paying $600 more for ChatGPT Team. At 25 seats, it's $1,500 more. Not huge, but not nothing.
Both require annual commitments for the advertised pricing. Going month-to-month on either costs more.
Model access
This is where the two plans diverge most meaningfully.
ChatGPT Team gives you access to GPT-4o and GPT-4o mini, plus all of OpenAI's tool integrations: DALL-E image generation, Code Interpreter (data analysis), Browsing, and the GPT Store where your team can access custom GPTs. You also get access to newer releases (like o-series reasoning models) as they roll out to Team tier.
Team members get higher message limits than Plus users. OpenAI has historically given Team users roughly 2x the GPT-4 message capacity of Plus users before throttling kicks in.
Claude Team gives you access to Claude 3.7 Sonnet, Claude 3.5 Haiku, and Claude 3 Opus. The Opus model access is notable because Claude's individual Pro plan doesn't include Opus. Team plan includes it by default, which is a meaningful advantage if you're doing complex writing, analysis, or reasoning tasks where Opus outperforms Sonnet.
Claude Team also includes the Projects feature with shared memory that persists across conversations, which is genuinely useful for teams working on ongoing projects where context should carry over.
Workspace and admin features
ChatGPT Team admin panel: You get a basic admin console that lets you add/remove seats, see usage stats per user, and manage billing. You can create a shared workspace where team members can publish and access custom GPTs built by colleagues.
The Custom GPTs feature is a real differentiator for ChatGPT Team. If your team has a standard set of prompts, personas, or workflows, you can package them as a custom GPT and share it within your workspace. A customer service team might have a custom GPT trained on their documentation; a legal team might have one tuned for contract review. Once it's built and shared, everyone uses the same configuration without manual prompt-sharing.
Claude Team admin panel: The admin experience in Claude Team is similar at a high level but currently less mature. You get seat management, billing consolidation, and usage monitoring. The Projects feature lets team members share Claude projects with persistent context, which is functionally similar to shared custom GPTs but lighter-weight.
One meaningful difference: Claude Team enforces privacy settings at the org level. Conversation data from Team workspaces isn't used to train Anthropic's models by default, and you get explicit contractual commitments to that effect. This is true for ChatGPT Team as well, but Anthropic tends to be more explicit about it in their documentation.
Privacy and data handling
Both plans advertise that business data isn't used for model training. But the details matter.
ChatGPT Team: OpenAI's data controls for Team state that conversations are not used to train models by default. Admins can review data handling settings in the admin console. OpenAI retains data for a default period for safety and product monitoring; you can request deletion through their data controls interface.
Claude Team: Anthropic's privacy controls are similar. Business conversations aren't used for training by default. Anthropic publishes a clearer policy document on retention periods and has historically been more forthcoming about exactly what data is kept and for how long.
If your team handles genuinely sensitive data, both options are acceptable, but the compliance burden is heavier with OpenAI because their data practices have more surface area (more products, more integrations, more partners). For a team handling something like medical notes or financial data, a thorough legal review of both providers' DPAs is worth doing before committing.
Integrations and workflow fit
ChatGPT Team's strengths:
- DALL-E access makes it a natural fit for marketing teams that need image generation alongside text work
- Code Interpreter is excellent for data analysis, working with CSVs, generating charts
- The GPT Store gives access to hundreds of specialized tools within the same subscription
- OpenAI's API is more mature and widely used, so teams that also want programmatic access have better tooling
Claude Team's strengths:
- Longer effective context window in practice. Claude 3.7 Sonnet has a 200K token context, which handles long documents better than GPT-4o in most tests
- Opus model for complex reasoning tasks included in the base plan
- Better at following nuanced, multi-part instructions without losing track of earlier constraints
- The writing quality in Claude's responses tends to feel more natural for prose-heavy work
The "better at writing" claim is subjective but consistent across user reports. Teams doing content creation, report writing, or communication-heavy work often prefer Claude's outputs. Teams doing data analysis, coding, or multi-modal work often prefer ChatGPT.
The shared GPT / Projects difference
Both platforms have a version of "save this context for the team to reuse."
ChatGPT's custom GPTs are more polished and feature-complete. You build a custom GPT with instructions, knowledge files, and tool access, then publish it to your workspace. Team members pick it from a list and use it exactly like any other ChatGPT, but pre-configured. This is a well-developed feature that's been in production long enough to have clear best practices.
Claude's Projects are simpler but effective for their primary use case: giving Claude a shared knowledge base and persistent memory within a defined project scope. You set up a project with documents and context, and any team member working in that project has access to the same background material without re-uploading it each time.
Projects are better for ongoing work where continuity matters. Custom GPTs are better for packaging a specific capability that different team members will use repeatedly in different contexts.
Real seat math at different sizes
A 5-person team:
- ChatGPT Team: $1,800/year
- Claude Team: $1,500/year
- Difference: $300/year
A 15-person team:
- ChatGPT Team: $5,400/year
- Claude Team: $4,500/year
- Difference: $900/year
A 50-person team:
- ChatGPT Team: $18,000/year
- Claude Team: $15,000/year
- Difference: $3,000/year
These are annual commitments. At the 50-person scale, you're in territory where enterprise procurement usually gets involved and you can negotiate pricing directly with both vendors.
Which team should pick which plan
Go with ChatGPT Team if:
- Your team includes people doing data analysis or working with structured data files
- Image generation is part of your workflow
- You want to build and share custom GPTs for specific use cases
- Your team already uses the OpenAI API and a shared subscription makes sense alongside that
Go with Claude Team if:
- You're working on text-heavy tasks: writing, editing, analysis, research
- You regularly need to work with long documents (contracts, reports, research papers)
- You want access to Opus for complex reasoning tasks without paying a higher tier
- Your team is smaller and the $5/seat/month savings is meaningful
- You've tried both and your team finds Claude's outputs better for your specific work
One honest recommendation: most teams don't pick up and evaluate both tools seriously. They pick one and get comfortable with it. If you're at the decision point, run a genuine two-week pilot with actual team tasks before committing annual seats. Both offer ways to do this without a full annual commitment upfront.
For individuals deciding between the consumer plans, the Claude Pro vs Claude Max guide covers the individual tier decisions separately.