ChatGPT isn't your only option
I'm writing this post in Claude Code. Not in ChatGPT. That's not coincidence, that's my workday. For the past two years ChatGPT has slid from "default" to "one of the tools" in my work, and most people I meet at DataDream haven't caught up. They pay €20 a month to OpenAI because it was the first reflex, and they've never tested whether something better exists for what they actually do.
In 2026 it does. For Dutch writing, long documents, code, Office work, European GDPR concerns: there's a sharper choice per situation than "let's just use ChatGPT". This article isn't a neutral comparison of five logos in a row. It's what I use, what I recommend, and when.
Three reasons the question is even on the table. One: price. A 10-person team on ChatGPT Team runs you a few hundred euros a month, and competitors offer comparable for less. Two: GDPR and data residency. Default ChatGPT processes data on US servers, and for customer data, legal documents or healthcare communication that's the wrong answer. Three: use cases. Image generation, long documents, code, Office integration. No model is best at everything, so "one tool for everything" is an expensive assumption in 2026.
Claude (Anthropic)
This is the model I use every day. Not out of loyalty, just because it wins in the work I do. Anthropic is based in San Francisco but offers EU data residency through Claude.ai and the API, so for European clients it's usable without a workaround.
What it does well. Dutch writing that doesn't read like a translated English draft. Long context: Opus 4.7 with 1M mode handles a million tokens, roughly 750,000 words in one conversation, so complete case files, contracts or annual reports go in at once. Code generation on par with GPT-5 or better, and in my experience better once the project gets complex. Claude is also trained to be more honest about what it doesn't know, which in legal or medical contexts isn't a detail but a precondition.
What it doesn't. No native image generation, no DALL-E built in. No voice mode like ChatGPT. The plugin and GPT-store ecosystem is smaller. None of that blocks me, since I make images in Recraft or Midjourney and don't use voice mode at all. For you it may matter.
Price. Claude Pro for individuals, Claude Team for groups, from around $20-30 per user per month. Via the API you pay per token, which is cost-effective if you embed it in your own tools.
When to pick. When you mainly write, analyse documents, or build code. Strong for law firms, accountants, marketing teams and developers. If you're stuck between Claude and ChatGPT and 80% of your work is text: pick Claude.
Gemini (Google)
Gemini is Google's answer to ChatGPT, woven into Google Workspace (Docs, Sheets, Gmail). Multimodal, so text, image, audio and video in one model.
What it does well. The free tier is the most generous of the bunch. Gemini 2.5 in the free Google app is sufficient for many tasks, and that's something the other three don't offer. Strong link to Google Search, so it's current where Claude and ChatGPT lag. Image generation via Imagen is built in. For research where you need live web data, this is my first pick.
What it doesn't. Privacy is the weak spot. For consumer accounts, Google may use input for model training, and the opt-out is buried. For business use through Workspace Enterprise it's covered, but you're then in a Google contract where GDPR compliance depends on how you set it up. Dutch output sometimes feels more generic than Claude or GPT.
Price. Free tier for Gemini, paid Gemini Advanced roughly in the same range as ChatGPT Plus. Workspace integration is often already in your existing contract, which helps.
When to pick. If your team uses Google Workspace, does a lot of research, or needs image plus text combined. And if you want to test free before going paid.
ChatGPT (OpenAI)
The original. Still the largest ecosystem, the most familiar interface, the first reflex for many people. Not because it's always the best, but because it has the most brand recognition. For some use cases that's also the right choice.
What it does well. GPT-5 (and earlier GPT-4 variants) is broadly capable and strong in Dutch output. DALL-E for image generation is built into ChatGPT Plus and Team, so text and image in one tool. Custom GPTs are handy for capturing knowledge in your own mini-bot. Voice mode is good for hands-free use. Advanced Data Analysis handles Excel, CSV and SQL, which finance people appreciate.
What it doesn't. On the Team tier, costs add up for larger teams. GDPR: hosting defaults to the US. OpenAI offers an EU data residency option via the API, but for the standard web interface (chatgpt.com) it's less clearly arranged than with Claude. For your SMB customer data, that's a watch point, not a detail.
Price. ChatGPT Plus for individuals, ChatGPT Team for groups, ChatGPT Enterprise for larger companies. A 10-person team sits in the range of a few hundred euros per month.
When to pick. If you want the broadest ecosystem, image generation and chat in one tool, and don't primarily process GDPR-sensitive data. Or if your team is already used to it and switching isn't worth the friction. The latter is a legitimate reason: I don't wish anyone a tool migration without clear gains.
Microsoft Copilot
If you already use Microsoft 365 (Word, Excel, Outlook, Teams), Copilot is the most logical pick. It's embedded in the tools themselves, not in a separate chat. That's not a small difference. An AI that lives in your Outlook gets used more than an AI you have to open a new tab for.
What it does well. Works directly in Word, Excel, PowerPoint, Outlook and Teams. Summarises email threads, writes Excel formulas, builds PowerPoint decks from a brief. Microsoft offers EU data residency by default through M365 Enterprise and has GDPR solidly covered for business clients. Under the hood it runs a mix of GPT-4 and Microsoft's own models.
What it doesn't. The chat version (Copilot in browser) is less powerful than ChatGPT itself. The magic is in the Office integrations, not in standalone chat. For copywriting outside Office or advanced data analysis you'll still reach for Claude or ChatGPT.
Price. Copilot for M365 is an add-on to your existing licence, roughly $30 per user per month on top of your M365 subscription. For individuals there's a cheaper Copilot Pro variant.
When to pick. If your organisation is fully on Microsoft 365 and you want GDPR-friendly without much hassle. Especially strong for finance, HR and general office work that lives in Office.
Mistral and Le Chat (French/European)
Mistral is a French company, founded by ex-Meta and Google researchers. Their chat product is called Le Chat. It's the most serious European alternative and the only one I'd recommend without reservation if data sovereignty really matters.
What it does well. EU company, EU hosting, native GDPR-compliant without extra contracts. Mistral Large is competitive with GPT-4 on many benchmarks. Strong in French and Dutch because it includes European training data. Open-source variants (Mixtral, Mistral 7B) are available if you want to host it yourself, which for some sectors is the only option.
What it doesn't. Smaller ecosystem: fewer integrations, smaller community, fewer plugins. Image generation and voice exist but aren't as developed as at OpenAI. For very specific domains an American competitor may be slightly better.
Price. Le Chat has a free tier and it's generous. Le Chat Pro is in the same range as competitors. API access via Mistral La Plateforme is competitively priced.
When to pick. When data sovereignty really matters. For legal, healthcare or government sectors. Or if you principally support a European alternative without compromising on quality.
Local and open-source models
For those who want truly 100% control: run locally on your own hardware. Llama 3.3 (Meta), Qwen (Alibaba), Mistral and DeepSeek are all open-weight, so free to download and run. No subscriptions, no data leaving your network, no American legal system having a say over your customer records.
What it does well. No data ever leaves your infrastructure. No subscription costs after the initial investment. Full control over fine-tuning on your own data. Legally the cleanest option if you handle truly sensitive information.
What it doesn't. You need hardware: a decent GPU server, think a workstation costing 5-10K euros for good models. You need someone who can set it up and maintain it. Models are usually a touch behind top-tier commercial models, though by 2026 the gap is more marginal than fundamental.
When to pick. If you work in a heavily regulated sector (medical, legal, defence, finance) and data really cannot leave the building. Or if you run such consistent volume that per-token API costs outpace running your own server.
At DataDream I help with this regularly: model choice, hardware advice, and setup of a local stack. See AI agents and automation if this applies.
Quick comparison per use case
No table, because nobody actually reads tables. Here's the core per tool in one paragraph each.
Claude (Anthropic) is for writing, long documents and code. Strong in Dutch, EU data via API, no native image generation. Best general pick for SMBs focused on text. Gemini (Google) is for research, multimodal work and if you use Workspace. Best free tier, but privacy needs attention outside Enterprise contracts. ChatGPT (OpenAI) is for the broadest ecosystem, image plus chat, and Custom GPTs. Default US hosting, so GDPR needs attention for customer data. MS Copilot is for those on Microsoft 365: strong Office integration, GDPR well arranged, the chat side itself is less powerful. Mistral (Le Chat) is for those who want European and GDPR-first. Solid quality, smaller ecosystem. Local models are for regulated sectors or large volumes, hardware and expertise required.
Recommended picks per situation
Solo entrepreneur or freelancer. Start with Claude Pro or ChatGPT Plus, choose based on what you do. Claude for writing, ChatGPT for variety. Both around the same price, so the risk is low.
SMB of 10-50 people. On Microsoft 365? Copilot for the baseline, plus Claude Team or ChatGPT Team for heavier creative or analytical tasks. Costs rise, but productivity gains are clearly measurable when you roll it out seriously.
Regulated sector (legal, healthcare, finance). Mistral Le Chat as the primary choice, or Claude with EU data residency through the API. If data really cannot leave: a local model set up with our help.
Developer team. Claude for code work, in 2026 the strongest model I know. GitHub Copilot for IDE integration. ChatGPT as backup for variety.
Marketing or content team. Claude for writing, ChatGPT for image generation and variety, Gemini for research. Combine rather than choose, since costs are relatively modest at team level and the gain per hour is large. See AI in marketing and content for how to operationalise this.
Frequently asked questions
Can ChatGPT generate images?
Yes, ChatGPT Plus and Team have DALL-E built in for image generation. You give a text prompt and get an image back. Claude doesn't have this natively, so for images you use a separate tool like Midjourney, Recraft or DALL-E inside ChatGPT. Gemini has Imagen built in, comparable to ChatGPT. For production-quality images (ads, headers) many teams still pick Midjourney or Recraft because creative control there is greater.
What's a good alternative to ChatGPT?
For most SMBs, Claude (Anthropic) is the strongest alternative: better Dutch output, longer context for documents, and EU data residency via API. If you use Microsoft 365, Copilot makes more sense because it works inside Word and Excel. Mistral Le Chat is the best European alternative if data sovereignty matters.
Is Claude better than ChatGPT?
For writing, long documents and code, Claude is often better in 2026, and in my daily practice always. For image generation, voice and the broader plugin ecosystem, ChatGPT is ahead. It's not a "winner", it's a choice per use case. Many SMB teams use both.
Which AI model is free to use?
Gemini has the most generous free tier: the base model is sufficient for many tasks without paying. Mistral Le Chat also has a free tier. ChatGPT and Claude offer free entry with limited capacity, so for serious work you'll hit limits there. For experimenting, free is fine; for production, you'll prefer paid.
Can I use ChatGPT at work?
Depends on two things: your employer's policy and which data you put in. Customer data, personal data, business secrets or contracts in a free ChatGPT account is a GDPR risk. With a ChatGPT Team or Enterprise account, or an API implementation through an EU vendor, it's better arranged. When in doubt, ask your employer for policy, or see AI strategy for SMBs for how to set this up properly.
Can I run AI locally?
Yes. On a PC with a good GPU you can run models like Llama 3.3, Qwen or Mistral locally via tools like Ollama, LM Studio or vLLM. For a multi-user team setup you need a server-class machine (5-10K euros or more). Quality is closing in on commercial models, but setup and maintenance cost time. For regulated sectors or high volumes it pays off, for general office work usually not.
Which model fits your situation?
The right choice depends on what you do, who your customers are, and how sensitive your data is. DataDream helps SMBs in the Netherlands with this: which model, which hosting, which integration, how to make it GDPR-proof, and how to bring your team along without losing half of them to resistance.
For a deeper look at ChatGPT specifically in a Dutch business context (quality, prompts, GDPR, alternatives), see ChatGPT in Dutch: a 2026 guide for SMBs and scale-ups. For Microsoft-stack organisations evaluating agents on Power Platform, see Copilot Studio: a 2026 guide for Dutch businesses.
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