Claude, ChatGPT, Gemini or Mistral – which model suits which task?

Four platforms, dozens of models, marketing-led “performance tests”. The problem is not the offer — it is the decision in day-to-day work. This article gives a clear framework: which platform for which use case, and why.

The four most important platforms in direct comparison

Claude – for business applications

Claude is the recommendation for structured business work: minutes, contracts, proposals, PDFs, coding, workflows. This comes down to two things: Claude makes a plan first and works through it systematically — and Claude pushes back when something is not right.

ChatGPT generally likes everything you bring to it. Claude does not. That is a real differentiator for bullshit checks, contract reviews and strategy reviews. Another point: Claude is meticulous with numbers — a key advantage in reporting and analysis.

Further strengths: Anthropic invented MCP (Model Context Protocol), now the established standard for AI app connections. The Word and Excel add-on is considered clearly superior to Microsoft Copilot. The desktop app with co-working mode allows local hard drive access without cloud upload. For deeper use: Skills and plugins can be built in-house and managed centrally in the company account — then assigned to staff in a targeted way.

Only weakness: token limits can become annoying under heavy use. Anthropic has found a more sustainable financing model than most competitors — but it still watches token consumption closely.

ChatGPT – for creative work and brainstorming

ChatGPT is strong for consumers. The voice mode is the best on the market, image generation (ChatGPT Image 2.0) is strong, and for brainstorming, ideation and creative formats it is fast and straightforward. It also delivers surprisingly good results for travel planning that should not be run-of-the-mill.

The weakness is structure: ChatGPT does 'something' and forgets half of it — there is no systematic way of working. For minutes, proposals or complex workflows, it is too unreliable. The Office integration is also weaker than Claude's.

Well suited for: creative first ideas, headline variants, image generation, travel planning, informal conversation.

Gemini – for Google Workspace companies

Gemini is the first choice when the company lives in Google Workspace: Docs, Gmail, Sheets, Drive. Workflows can be automated directly in the Google world, without third-party bridges.

In addition, Gemini has the best image generation and video analysis on the market. NotebookLM, as a complementary Google tool for knowledge aggregation from your own documents, is very strong.

Outside the Google world, Gemini quickly loses relevance. If you are not in Google Workspace, there is little reason to prefer Gemini.

Mistral – for EU data protection

Mistral is the European alternative: servers in France, closer to the GDPR than the US providers, and the Cloud Act is not an issue. For customers with NDA clauses that require 'servers only in Europe', Mistral is the only realistic cloud option.

In terms of quality, Mistral is at least on par with ChatGPT, though not quite at Claude level. Connectors for Outlook, Google and other standard tools are available. No desktop client, smaller context window than Claude (128,000 vs. 1 million tokens).

The quick decision framework

When a local model makes sense

Anyone who needs full data control should choose a local open-source model: Llama (Meta), Gemma (Google), Phi (Microsoft) or Apertus (Swiss initiative). Apertus version 1 already reached Llama level — version 1.5 (8B) arrives in May 2026. Tools like Ollama or LM Studio install these models on your own computer — no internet needed, no cloud upload, no monthly subscription.

The trade-off is clear: full control in exchange for weaker performance and hardware requirements (16 GB RAM and above recommended).

Typical scenarios: interrogation transcription for law enforcement, internal demos without a network, highly confidential M&A documents, company networks with compliance requirements.

One tip to start: Google Gemma runs on newer phones without internet — practical for field work with sensitive content.

Cross-use: multiple models for one question

One hack that pays off in strategic decisions: ask the same question in Claude and Gemini (or ChatGPT) in parallel. The combined answer from both often gives a better plan than one answer alone.

Sometimes the real value is not the result, but the path: the model shows which questions need to be asked at all.

Which Claude model when

Claude has three model lines with different price-performance profiles:

The most important rule of thumb: Opus 4.7 consumes one third more tokens than Sonnet 4.6 for the same task. Under heavy use, that adds up quickly. For trivial tasks, choose Haiku or Sonnet — Opus only when the complexity justifies it.

The model can be switched at any time in an ongoing chat. Over time, you develop a feel for what each task needs.

Licence: Individual vs Team – a critical warning

Anyone who starts with Individual Pro ($20/month) and later switches to Team loses the entire configuration: projects, instructions, everything.

So the rule is: if you know you will work with several people, start with Team immediately — even if you are initially alone. Team Standard costs $25 per seat, minimum size 5 seats. If you use it heavily, add a Premium Seat ($125/month).

Only those who are certain they will work alone permanently can start with Individual Pro without concern.

What comes next

That lays the foundations: which LLM, which model, which licence. In the next article, we will look at how to connect Claude to your own tools — connectors, MCP and how a wording skill is created that transfers your writing style into every output.

→ Connectors, MCP and your own wording skill