ChatGPT vs Claude for business is the question most leadership teams have on the agenda in late 2026. The scene is the same in every kick-off: the IT lead points at a quote for ChatGPT Business, the head of sales just started using Claude at home, and the owner wants to know what the right pick is for 40 people on Monday. The honest answer is that both are excellent, both are priced close to each other, and both do things the other cannot - and that choosing one of them for the whole company is often the wrong frame.
This explainer is for owners, team leads and IT leaders who have to make or defend that decision. It compares ChatGPT and Claude side by side on price, strengths, DSGVO and what each one wins at, and then shows the third path: with Superkind’s ready-made AI team you do not pick a model, you pick the AI employee - and Superkind uses the model that fits the task, processed in Europe.
Key takeaways
ChatGPT (OpenAI) wins on broad reasoning, image and voice, the Deep Research mode and the biggest user base. Business is USD 20 to 25 per seat per month.
Claude (Anthropic) wins on long-context document work and agentic coding (SWE-bench Verified 77.2 percent vs. 72.8 percent for GPT-5). Team Standard is USD 20 to 25 per seat; Premium USD 100 to 125.
Neither is hosted in Europe by default - both offer a DPA with EU Standard Contractual Clauses on paid plans and exclude customer data from training. Full EU hosting usually needs an enterprise contract.
Get a ready-made AI team instead of picking one model - Superkind comes with a bundle of AI employees (Report Builder, Email Drafter, Research Analyst) that work in Outlook, Teams and Slack and route each task to the right model. Start free with unlimited users, or build your own.
Stay in control, keep the data in Europe - Superkind runs on OpenAI, Anthropic, Mistral and Google models, all processed in Europe, GDPR compliant, EU AI Act aligned, no training on your data; you decide which steps need approval.
Your AI team, on the right model for each job
What is the difference between ChatGPT and Claude?
ChatGPT is OpenAI’s chat product built on the GPT family of models (GPT-5 in 2026). Claude is Anthropic’s chat product built on the Claude family (Opus 4.1 and Sonnet 4.5 in 2026). Both are assistants: a person types, the model answers, and the person takes the next step in their real systems. One example of the next layer is Superkind, a model-agnostic AI employee you write to in Outlook, Teams or Slack like a colleague, that uses OpenAI, Anthropic, Mistral and Google models under the hood and does the task in your programs - hosted in Europe.
The one-line summary
ChatGPT is the broadest assistant with the widest reach. Claude is the longest-context assistant with a lead on agentic coding. Both are powerful chat windows. Neither finishes a cross-system process on its own, and neither is hosted in Europe by default.
ChatGPT vs. Claude at a glance
The headline table. Superkind is the row you can realistically pick for a European team that cares about hosting, price per user and which systems are already in use.
| Criterion | ChatGPT (OpenAI) | Claude (Anthropic) | Superkind |
|---|---|---|---|
| Hosting in Europe | Not by default; OpenAI Ireland for EEA/Swiss processing under the DPA1 | Not by default; EU residency via enterprise contract2 | Yes - hosted and processed in Europe |
| GDPR and DPA | DPA effective 1 January 2026, EU SCCs1 | DPA effective 24 February 2025, EU SCCs2 | DPA via Trust Center, EU AI Act aligned |
| Training on your data | Excluded on Business and Enterprise | Excluded on Team and Enterprise | Never |
| Models | GPT-5 family (OpenAI) | Claude Opus 4.1 and Sonnet 4.5 family (Anthropic) | OpenAI + Anthropic + Mistral + Google |
| Integrations | Connectors to Microsoft 365, Google Workspace and more; custom GPTs | MCP connectors and native Google Workspace / Microsoft 365 | 1,500+ integrations (DATEV, SAP Business One, HubSpot, SharePoint, Excel) |
| Approval in your programs | You still copy the output into your real systems yourself | You still copy the output into your real systems yourself | Yes - you decide which steps wait for approval in Outlook, Teams or Slack |
| Price (2026, excl. VAT) | Business USD 20-25/seat/month; Enterprise custom (~USD 60/seat, ~150-seat min)5,6 | Team Standard USD 20-25/seat/month; Premium USD 100-125; Enterprise custom7 | Free start up to EUR 150 credits; Business from EUR 50/month for the whole company, unlimited users |
| Minimum users | 2 seats on Business; ~150 on Enterprise annual | 2 seats on Team (since July 2026) | None - unlimited users at every paid level |
Who wins at what
Both vendors publish benchmark numbers; both are selective about which ones they show. The fair summary, as of late 2026, is that each model wins a clear set of tasks and loses others. For a buying decision, that is more useful than a single scoreboard.
Where ChatGPT (GPT-5) is ahead
- Broad reasoning and world knowledge - GPT-5 is slightly ahead on GPQA Diamond (about 85.7 vs. 83.4 percent for Sonnet 4.5), useful for general knowledge questions and mixed-domain analysis.3
- Deep Research - ChatGPT’s Deep Research mode runs multi-step web research and delivers a cited report; often the first thing an analyst reaches for.
- Image, audio and video - DALL-E image generation, voice mode and Sora video are native inside ChatGPT. Claude is text and code first.
- Custom GPTs - no-code assistants with a system prompt, up to 20 knowledge files and simple API actions, shareable inside the workspace.
- Reach and familiarity - your team probably already uses ChatGPT at home, so adoption is easier on day one.
Where Claude (Sonnet 4.5, Opus 4.1) is ahead
- Agentic coding benchmarks - Sonnet 4.5 reported 77.2 percent on SWE-bench Verified vs. 72.8 percent for GPT-5 at launch, and led Terminal-Bench 50.0 vs. 43.8 percent.3,4
- Long-context document work - reads very large contracts, handbooks and code bases in one pass and stays on topic without copy-paste.
- Agent SDK and Claude Code - a strong story for engineering teams who want to run agents in the terminal and inside their stack.
- Careful, less hallucinated prose - many editors prefer Claude for long written output where tone and fact-density matter.
- MCP (Model Context Protocol) - the connector standard Anthropic pushed is now broadly supported; useful if your IT team is building integrations.
Where German teams feel the gap
- Neither does your work - both stop at the chat window. Your Sachbearbeiter still copies the answer into DATEV, HubSpot or SAP.
- Neither knows your company - prices, customers, approval rules and the tone of your business live outside the chat.
- Neither is hosted in Europe by default - this is a scoring criterion in many B2B tenders and a procurement block.
- Neither waits for approval - if a reply must be checked before it goes out, the person is the approval step.
Pricing in 2026
The sticker prices are close on the team plans and far apart at the top. All numbers below are from vendor pages or current third-party analyses, with their publication context named. As of October 2026. Prices are excl. VAT.
| Plan | ChatGPT (OpenAI) | Claude (Anthropic) | Superkind |
|---|---|---|---|
| Free | Free tier with limited usage | Free tier with limited usage | EUR 0, up to EUR 150 in credits, no credit card, unlimited users |
| Team / Business | USD 20/seat annual, USD 25 monthly; 2-seat min5,6 | Standard USD 20/seat annual, USD 25 monthly; 2-seat min7 | From EUR 50/month for the whole company, unlimited users (EUR 100 covers up to 1,000 tasks or 5,000 questions) |
| Premium / Pro step | Pro USD 200/month per user (individual plan) | Team Premium USD 100 annual, USD 125 monthly; 5x usage, Claude Code included7 | EUR 200 and EUR 500 top-up steps for more credits; same unlimited users |
| Enterprise | Custom; ~USD 60/user/month, ~150-seat annual minimum (third-party estimate)6 | Custom; enterprise contract adds EU residency and SSO2 | Custom; dedicated support with SLA, SSO/SCIM, DPA and audit log |
| Cost for 25 users / year | About USD 6,000 on Business annual | About USD 6,000 on Team Standard annual | From EUR 600/year on Business (one price, 25 or 250 users) |
The per-seat trap
ChatGPT Business and Claude Team scale with headcount. If 40 people try it and 15 use it, you still pay for 40. Superkind scales with work: one price for the whole company, so letting everyone use it is the lowest-friction choice.
Data protection and EU hosting
The model layer touches your mails, your contracts and your customer data. Where it runs and what it is allowed to do with that data decides more than any benchmark. The honest state in 2026.
- ChatGPT - DPA effective 1 January 2026, OpenAI Ireland Limited processes EEA and Swiss data, EU SCCs included; no training on Business and Enterprise content.1 EU data residency is not the default - check with your account team.
- Claude - DPA effective 24 February 2025, EU SCCs (Module 2 and 3) included; no training on Team and Enterprise content.2 EU residency is typically offered as an enterprise contract add-on.
- Superkind - hosted and processed in Europe, GDPR compliant, EU AI Act aligned (Regulation (EU) 2024/1689), DPA via the Trust Center. Uses OpenAI, Anthropic, Mistral and Google models processed in Europe.
For a German team, this is often the first filter. If the Betriebsrat, the Datenschutzbeauftragte or a customer audit asks where personal data is processed, “OpenAI Ireland” or “AWS Frankfurt via enterprise contract” is a different answer than “hosted and processed in Europe, DPA signed, no training”. If you also want to go deeper on each vendor on its own, our pieces on Is ChatGPT GDPR compliant? and Is Claude GDPR compliant? cover each in detail.
How it works with Superkind: your AI team, modellagnostic
Superkind is the AI employee for your team: you write to Superkind by email (Outlook or Gmail), in Microsoft Teams, in Slack or in the Superkind web app, like a colleague, and Superkind does the task in your programs. Hosted and processed in Europe, GDPR compliant, with 1,500+ integrations into DATEV, SAP Business One, HubSpot, Salesforce, SharePoint and Excel. Superkind runs on models from OpenAI, Anthropic, Mistral and Google - you do not choose the model, you choose the AI employee, and it picks the one that is best at the task in front of it.
You do not have to pick ChatGPT or Claude for the whole company. Superkind brings a ready-made AI team that routes each task to the model that is best at it - OpenAI for broad reasoning, Anthropic for long documents and code, Mistral or Google where they fit - all processed in Europe. Use them right away, adapt them, or build your own.
Report Builder
AI employee for long-document analysis and reports
Monday morning. The sales lead wants a 60-page partner contract turned into a two-page summary for the board. ChatGPT alone needs copy-paste. The Report Builder pulls the contract from SharePoint, uses the model that handles long context best, writes the one-pager into Word and posts it in the management channel in Teams. Routine reports run on their own.
+ 1,700 moreEmail Drafter
AI employee for email drafting and triage
Daniel in sales gets 80 mails a day, many in German. A general chat window writes stiff translations. The Email Drafter reads the mail, pulls the customer record from HubSpot, writes the reply on the model that best handles German grammar and tone, and sends everything under EUR 5,000. Anything above waits for Daniel in Outlook.
+ 1,700 moreResearch Analyst
AI employee for market research and deep research
Before the pricing meeting Henri asks in Slack: "Check how three competitors price their maintenance contracts and summarise." The Research Analyst runs a deep research pass across public sources, cross-checks against the deals in HubSpot, and posts the write-up in Slack with sources. You do not pick the model - the Analyst uses the one that is strongest at this kind of task.
+ 1,700 more
Every employee is ready to use right away. Or build your own on the platform.
Safe by default
The AI team reads customer data, prices and contracts. Superkind keeps it in Europe, never uses it to train models and uses whichever model (OpenAI, Anthropic, Mistral, Google) fits the task - all processed in Europe.
- Hosted and processed in Europe
- GDPR compliant
- Aligned with the EU AI Act
- No training on your data
- DPA through the Trust Center
From the first task to your own app
The same path on this topic: the move from “which chat window do we buy” to a working AI team happens in four stages. Each one builds on the last.
- 1
Start
Ready in minutes. Sign up for free at app.superkind.ai, forward a long customer contract to Superkind in Outlook, and watch the Report Builder summarise it in Word on the model that handles long context best.
- 2
Relief
Tasks become routines. “Every German-language customer mail under EUR 5,000: draft the reply and send” is one sentence, and the Email Drafter takes it from there - using the model that writes German best. You decide which steps wait for approval.
- 3
Knowledge
Learns from day one. Every task makes Superkind smarter. The Company Brain holds your customers, prices and tone of voice, so the next Report Builder summary already knows which clauses matter to you. When the account manager leaves, the knowledge stays.
- 4
Growth
When it gets more complex, you do not start over. Build a custom contracts app with its own interface on the Superkind platform, on top of what the AI team already knows - your own Super App. Built yourself or with the Superkind team, and it all belongs to you. If a stronger model ships next year, the app keeps running.
Send Superkind your first task
Start for free in Outlook, Teams or Slack. See the AI team at work on the model that fits the task.
When to pick which
A simple decision frame for the Monday meeting. You do not have to buy a single tool for everyone.
- Pick ChatGPT when your team mostly does marketing, research and ad-hoc work; you want image and voice; your Pro users want Deep Research; and you are fine with the per-seat model and OpenAI’s DPA.
- Pick Claude when engineering and technical writing are the main use cases; you work with very long documents or large code bases; you prefer MCP over custom plugins; and you can accept Anthropic’s per-seat model.
- Pick both when you have a dedicated Deep Research use case and a strong engineering team; many larger companies run both and accept the double bill.
- Pick Superkind when the point is not better chat but finished work: tasks in DATEV, HubSpot or SharePoint; approval in Outlook or Teams; unlimited users across the company for one price; European hosting and processing; and the freedom to use whichever model is best at each task without rewriting anything if the model landscape shifts.
- Start with a single task - not a tool. The task where an AI answer still ends in ten minutes of clicking into a system is the one that tells you whether a chat window is enough.
Conclusion
ChatGPT vs Claude is not a contest you have to settle. Both are excellent chat windows, each with a clear set of jobs it is best at: ChatGPT for broad reasoning, research and media; Claude for long documents and agentic coding. Prices are close on the team plans, both offer a DPA with EU SCCs, and neither is hosted in Europe by default. If chat is what your team needs, buy the one whose strengths you use most. If what your team really needs is finished work - in DATEV, HubSpot, SharePoint, Outlook, Teams or Slack - a model licence is the wrong purchase order.
The step that pays off this week: pick one real task where a chat answer still ends in ten minutes of clicking into your systems. Send it to Superkind in Outlook, Teams or Slack. Approve the first result. Watch the AI team pick the right model, finish the task across your programs and leave the data in Europe. The model layer will keep changing. The AI team you build on top of it does not have to.
Frequently Asked Questions
Neither is universally better. ChatGPT (OpenAI) is strongest on broad reasoning, image generation and the Deep Research mode, with the largest user base. Claude (Anthropic) leads on long-context document work and agentic coding benchmarks like SWE-bench Verified. Both exclude customer data from training on paid plans. For most teams the honest answer is: pick the one whose strengths match the work you do most, or use Superkind and let it route each task to the right model.
On vendor-reported benchmarks from the Claude Sonnet 4.5 launch in September 2025, Sonnet 4.5 scored 77.2 percent on SWE-bench Verified vs. 72.8 percent for GPT-5, and led Terminal-Bench at 50.0 vs. 43.8 percent. GPT-5 and GPT-5 Codex remain very strong and are often the daily driver inside IDEs. In practice, many engineering teams use ChatGPT for exploration and Claude for long-context refactors across many files.
ChatGPT Business lists at USD 20 per user per month on annual billing, or USD 25 per user per month on monthly billing, with a two-seat minimum. Enterprise is custom-priced; third-party analyses place negotiated contracts around USD 60 per user per month, with an approximate 150-seat annual commit. As of October 2026. Check openai.com for your region.
Claude Team Standard is USD 25 per seat per month on monthly billing, or USD 20 on annual, with a two-seat minimum since July 2026. Team Premium is USD 125 monthly or USD 100 annual, adds Claude Code and gives roughly 5x the Standard usage. Enterprise is custom. As of October 2026. Check anthropic.com for your region.
Both offer a Data Processing Addendum for paid customers. OpenAI’s DPA (effective 1 January 2026) names OpenAI Ireland Limited as processor for EEA and Swiss data and incorporates the EU Standard Contractual Clauses. Anthropic’s DPA (effective 24 February 2025) also incorporates the SCCs. Neither service is hosted in Europe by default. For strict EU hosting and processing with the DPA ready to sign, Superkind is the European choice: hosted and processed in Europe, DPA through the Trust Center.
Microsoft 365 Copilot wins when your team lives in Word, Excel, Outlook and Teams and you already own E3 or E5. ChatGPT is the strongest standalone product for broad work and research. Claude is strongest for long documents and code. All three are assistants: they help a person do a task faster, they do not finish a process end to end. Superkind closes that gap: it works inside Outlook, Teams and Slack, does the task in your systems via 1,500+ integrations and routes to the model that is best at each job.
Not with Superkind. Superkind is model-agnostic: it runs on models from OpenAI, Anthropic, Mistral and Google, processed in Europe, and picks the one that is best for the task in front of it - long context, broad reasoning, German language, agentic coding. You buy an AI employee, not a model licence. If the model landscape shifts, the AI employee keeps running - your Company Brain stays the same.
Related Articles
- ChatGPT Pricing 2026: What Each Plan Costs for Business
- Claude Pricing 2026: Team, Enterprise and API
- Is ChatGPT GDPR Compliant? What EU Teams Need to Know
- Is Claude GDPR Compliant?
- Microsoft Copilot vs ChatGPT Enterprise: Honest 2026 Comparison
Sources
- OpenAI - Data Processing Addendum (effective 1 January 2026)
- Anthropic - Data Processing Addendum (effective 24 February 2025)
- Anthropic - Introducing Claude Sonnet 4.5 (benchmarks)
- OpenAI - Introducing GPT-5
- Elephas - ChatGPT Business, Team, and Enterprise Pricing (2026)
- eesel AI - ChatGPT for Work pricing: Business & Enterprise cost (2026)
- krater.ai - Claude Team Plan Pricing: What 2 to 150 Seats Actually Cost (2026)
- Anthropic - Claude pricing
- EUR-Lex - Regulation (EU) 2024/1689 (EU AI Act)
- Superkind - Trust Center (DPA)
Send Superkind your first task.
Start for free in Outlook, Teams or Slack. Or let us show you in 30 minutes how it runs in your systems - on the model that fits each job, all processed in Europe.