ChatGPT alternatives for SMBs in 2026: a comparison

ChatGPT is not your only option

I'm writing this post in Claude Code. Not in ChatGPT. That is not a coincidence, that is my workday. For about two years now, ChatGPT has slipped from being my default pick to being one of the tools, and for most people I speak to at DataDream that news has not landed yet. They pay €20 a month to OpenAI because it was the first reflex, and they have never tested whether something better exists for their work.

In 2026 that something exists. For writing in Dutch, for long documents, for code, for Office work, for European GDPR concerns: there is a better choice per situation than "let's go with ChatGPT because we know it". This article is not a neutral side-by-side of five logos. This is what I use myself, what I recommend to clients, and when.

Three reasons why the question "which alternative to ChatGPT" is on the table at all. One: price. A team of ten on ChatGPT Team runs into a few hundred euros a month, and the competition offers something comparable for less. Two: GDPR and the question of where your data sits. Standard ChatGPT processes on US servers, and for client data, legal documents or healthcare communication that is the wrong answer. Three: what you use it for. Making images, processing long documents, writing code, tying into Office. No single model is best at everything, so "one tool for all" is an expensive assumption in 2026.

Claude (Anthropic)

This is the model I use daily. Not out of loyalty, simply because it wins in my work. Anthropic is based in San Francisco but offers EU data hosting through Claude.ai and the API, so for European clients it works without a workaround.

What it does well. Dutch writing that does not read like an English translation. Long context: Opus 4.7 with 1M mode handles a million tokens, over 750,000 words in a single conversation, so complete case files, contracts or annual reports fit in one go. Code writing at the level of GPT-5 or better, in my experience better once the project gets complex. And Claude is trained to be more honest about what it does not know, which in a legal or medical context is not a detail but a requirement.

What it does not do. No built-in image generation, no DALL-E inside it. No voice mode like ChatGPT. The ecosystem around plugins and GPT stores is smaller. For me that is not a problem, because I make images in Recraft or Midjourney and I do not use voice mode at all. For you it may play out differently.

Price. Claude Pro for individual users, Claude Team for groups, starting around $20-30 per user per month. Through the API you pay per token, cost-effective if you build it into your own tools.

When to pick it. If you mostly write, analyse documents or work on code. Strong for law firms, accountants, marketing teams and developers. If you are torn between Claude and ChatGPT and 80% of your work is text: go with Claude.

Gemini (Google)

Gemini is Google's answer to ChatGPT and is woven into Google Workspace (Docs, Sheets, Gmail). Multimodal, so text, image, audio and video in one model.

What it does well. The free version is the most generous of the bunch. Gemini 2.5 in the free Google app is enough for many tasks, and that is something the other three do not offer. Strong tie-in with Google Search, so it is current where Claude and ChatGPT lag. Image generation via Imagen is built in. For research work where you need current web data, this is my first choice.

What it does not do. Privacy is the weak spot. For consumer accounts Google can use your input to train the model, and the opt-out is buried. For business use through Workspace Enterprise it is covered, but then you sit inside a Google contract where GDPR compliance depends on how you configure the settings. Dutch text sometimes feels more generic than with Claude or GPT.

Price. Free version for Gemini, paid Gemini Advanced sits roughly in the same price bracket as ChatGPT Plus. The Workspace tie-in often comes with your existing contract, which helps.

When to pick it. If your team uses Google Workspace, does a lot of research, or needs image plus text combined. And if you want to test for free before taking out a paid subscription.

ChatGPT (OpenAI)

The original. Still the biggest ecosystem, the best-known interface, for many people the first reflex. Not because it is always the best, but because it has the most brand recognition. For some use cases that is also the right pick.

What it does well. GPT-5 (and the earlier GPT-4 variants) is broadly usable and strong in Dutch text. DALL-E for image generation is built into ChatGPT Plus and Team, so text and image in one tool. Custom GPTs are handy for locking knowledge into your own mini-bot. Voice mode is good for hands-free use. Advanced Data Analysis handles Excel, CSV and SQL, which saves your finance people time.

What it does not do. On the Team plan the cost for larger teams adds up quickly. GDPR: default hosting in the US. OpenAI offers EU data hosting through the API, but for the regular web interface (chatgpt.com) that is less clearly arranged than with Claude. For the client data of your SMB customers that is a point of attention, not a detail.

Price. ChatGPT Plus for individual users, ChatGPT Team for groups, ChatGPT Enterprise for larger companies. For a team of ten you land around a few hundred euros a month.

When to pick it. If you want the widest ecosystem, image generation and chat in one tool, and you are not primarily handling GDPR-sensitive data. Or if your team is already used to it and switching is not worth the effort. That last one is a legitimate reason, I would not push anyone to switch tools without a clear win.

Microsoft Copilot

If you are already on Microsoft 365 (Word, Excel, Outlook, Teams), Copilot is the most logical pick. It sits embedded in the tools themselves, not in a separate chat. That is not a small difference. An AI that lives in your Outlook you use more often 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, makes PowerPoint decks from a short brief. Microsoft provides EU data hosting by default via M365 Enterprise and has GDPR for business clients solidly covered. Under the hood it runs a mix of GPT-4 and Microsoft's own models.

What it does not do. The chat version (Copilot in the browser) is less powerful than ChatGPT itself. The strength sits in the Office integrations, not in standalone chat. For copywriting outside Office or advanced data analysis you still reach for Claude or ChatGPT alongside it.

Price. Copilot for M365 comes as an add-on to your existing licence, about $30 per user per month on top of your M365 subscription. For individual users there is a cheaper Copilot Pro.

When to pick it. If your organisation runs entirely on Microsoft 365 and you want GDPR-friendly without much fuss. Especially strong for finance, HR and general office work where a lot happens in Office.

Mistral and Le Chat (French/European)

Mistral is a French company, founded by former researchers from Meta and Google. Their chat product is called Le Chat. It is the most serious European alternative and the only one I would recommend without reservation when data sovereignty really matters.

What it does well. European company, European hosting, GDPR compliant by default without extra contracts. Mistral Large holds its own against GPT-4 on many benchmarks. Strong in French and Dutch because it contains European training data. Open-source variants (Mixtral, Mistral 7B) are available if you want to self-host, which for some sectors is the only option.

What it does not do. The ecosystem is smaller: fewer integrations, smaller community, fewer plugins. Image generation and voice exist, but are less polished than at OpenAI. For very specific domains a US competitor may be a touch better.

Price. Le Chat has a free version and it is generous. Le Chat Pro sits in the same price bracket as the competitors. API access through Mistral La Plateforme is sharply priced.

When to pick it. If data sovereignty genuinely matters. For legal, healthcare or government sectors. Or if you want to back a European alternative on principle without giving up quality.

Local and open-source models

For those who want 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 walls, no US legal system that gets to decide over your client records.

What it does well. No data ever leaves your infrastructure. No subscription cost after the initial investment. Full control over fine-tuning on your own data. Legally the cleanest option if you really do handle sensitive information.

What it does not do. You need hardware: a solid GPU server, think a workstation of 5,000 to 10,000 euros for good models. You need someone who can set it up and maintain it. The models are usually a notch behind the best commercial ones, though by 2026 the gap sits at the margins rather than at fundamental shortcomings.

When to pick it. If you work in a heavily regulated sector (medical, legal, defence, finance) and data really cannot leave the building. Or if you push so much volume that per-token API costs climb faster than the price of your own server.

At DataDream I help with this regularly: model choice, hardware advice and setting up a local environment. See AI agents and automation if this is on your table.

ChatGPT is not your only option. The best choice depends on your work and the tools you already use.

Short comparison per situation

No table, because no one reads tables. Each tool's core in one paragraph.

Claude (Anthropic) is for writing, long documents and code. Strong in Dutch, EU data via the API, no built-in image generation. Best overall 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 an Enterprise contract. ChatGPT (OpenAI) is for the widest ecosystem, image plus chat and Custom GPTs. Default hosting in the US, so GDPR needs attention for client data. MS Copilot is for those on Microsoft 365: strong Office integration, GDPR well arranged, the chat part itself is weaker. 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.

Recommendations per situation

Solo or freelancer. Start with Claude Pro or ChatGPT Plus, choose based on what you do. Claude for writing, ChatGPT for variety. Both roughly the same price, so the risk is low.

SMB of 10-50 employees. On Microsoft 365? Copilot for the baseline, plus Claude Team or ChatGPT Team for heavier creative or analytical work. Costs add up, but the productivity gain is clearly measurable if you roll it out seriously.

Regulated sector (legal, healthcare, finance). Mistral Le Chat as first choice, or Claude with EU data hosting via the API. If data really cannot leave the building, we set up a local model together.

Development team. Claude for the coding work, in 2026 the strongest model I know. GitHub Copilot for the editor integration. ChatGPT as a backup for variety.

Marketing or content team. Claude for writing, ChatGPT for image generation and variety, Gemini for research. Combine rather than choose, because at team scale the costs are relatively modest and the gain per hour is large. See AI in marketing and content for how to put this into practice.

Which model fits your situation?

The right choice depends on what you do, who your clients are and how sensitive your data is. DataDream helps SMBs in the Netherlands with this choice: 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. Which route pays off most per situation is covered on the AI solutions page.

For a deeper look at ChatGPT specifically in a Dutch context (quality, prompts, GDPR, alternatives), see ChatGPT in Dutch: a guide for SMBs and scale-ups. For Microsoft organisations weighing up building agents on the Power Platform, see Copilot Studio: a guide for Dutch companies.

No sales pitch, just an honest weigh-up. Request an AI Quickscan or take the free AI scan to see where your biggest opportunities lie.