Was bedeutet die Kontextgröße bei einem Sprachmodell?

Sie gibt an, wie viel Text ein Modell gleichzeitig berücksichtigen kann: Ihre Frage, die hochgeladenen Dateien und den bisherigen Gesprächsverlauf zusammen. Eine Million Zeichen Kontext bedeutet grob, dass auch ein umfangreiches Vertragswerk in einem Stück verarbeitet werden kann.

Kann ich mehrere Sprachmodelle parallel nutzen?

Ja. Bei novendix.AI stehen alle freigeschalteten Modelle über denselben Zugang zur Verfügung und lassen sich jederzeit über die Kopfzeile wechseln, auch mitten im Gespräch.

Sind europäische Sprachmodelle schlechter?

Nicht grundsätzlich. Mistral ist bei vielen Alltagsaufgaben konkurrenzfähig und oft sparsamer. Bei den schwierigsten Aufgaben liegen die Spitzenmodelle von Anthropic und OpenAI derzeit vorn. Für die Datenschutzfrage ist der Verarbeitungsort entscheidend, nicht die Herkunft des Modells.

LLM Comparison

Language models, honestly compared.

Q: Which language model is the best?

Es gibt keines, das in allem das beste ist, und die Rangfolge ändert sich im Wochentakt. Sinnvoller ist die Frage, welches Modell zu welcher Aufgabe passt und ob man es wechseln kann, ohne die Lösung neu zu bauen.

Most comparisons online come from vendors who sell exactly one model. We offer all four major model families side by side – Claude, GPT, Gemini and Mistral – and therefore have no reason to talk any of them up. This comparison says which family proves itself for what in practice, and where the differences are in truth small.

Four model familiesBy task, not by leaderboardNo vendor interest

Why leaderboards help little

Benchmark tables measure standardised tasks. Your work is not standardised. Three reasons why the leaderboard rarely settles the decision:

The gap has narrowed

On everyday tasks – summarising, drafting, translating, structuring – all four families deliver usable results. The difference only weighs in on difficult tasks.

The lead is fleeting

The top spot changes every few weeks. Anyone who pins their choice to the current leaderboard is deciding for a state of affairs that is already outdated by the time of rollout.

Your task is the yardstick

A model that shines at maths need not be the best for your proposals. Only a test on your own documents is meaningful.

The four families and their character

Observations from practical use, not benchmark figures. All models named are available through novendix.AI.

Claude (Anthropic)

Strong on long texts and careful editorial work: reviewing contracts, summarising documents, drafting with nuance. The Ultra tier with Claude Opus 5.5 and Claude Fable 5.1 offers 1M characters of context each. Tends to name its uncertainty rather than guess – in a business setting, rather an advantage.

GPT (OpenAI)

The broadest general-purpose tool, with the widest range from GPT-5 Nano to GPT 5.6 Sol. Good at structured output and mixed tasks. For many teams the most familiar model, because it comes closest to the chat service they already know.

Gemini (Google)

The largest context windows, with 1M characters already in the Standard tier. That makes it particularly suitable when a great many documents need to be taken into account at once. Gemini 2.5 Pro is additionally built for reasoning.

Mistral (France)

A European provider, economical and fast. Mistral Large has proven itself on creative and promotional copy, Devstral is aimed at code, and Mistral Medium 3.5 is the only Mistral model with image recognition and reasoning.

Which family for which task

A guide, not a rule. In case of doubt, your own test decides.

Reviewing long documentsClaude Sonnet 5 or Claude Opus 5.5 – built for care across many pages

Very many files at onceGemini – 1M characters of context already in the Standard tier

Structured data and tablesGPT 5.6 Sol or GPT 5.6 Terra

Advertising and marketing copyMistral Large or Claude Sonnet 5

Code and developmentDevstral or Claude Sonnet 5

Maths and logico4-mini or Gemini 2.5 Pro

Everyday: emails, summariesClaude Haiku 4.5, Gemini 2.5 Flash or GPT 5.6 Luna

Not sure what fitsSmart Select – the platform chooses for you

The full list of all 20 models with provider and context size is on AI models at a glance. The selection criteria are covered in the article Which language model for which task?. For a comparison of whole providers rather than single models, see ChatGPT alternatives for companies.

How to compare for yourself – in half a day

The only comparison that counts for your company is the one on your own tasks. Here is how to run it with little effort:

Pick three real tasks that come up regularly – not toy exercises.
Write a fixed instruction for each task and define in advance what a good result looks like.
Have the same task handled by three models from different families.
Judge blind: have the results assessed by an expert without the model names attached.
Repeat the test after six months – the ranking changes.

Because at novendix.AI all models are available through the same access, this comparison costs only time and no additional contracts. What the whole thing costs is worked through in What AI really costs in a company durch.

Frequently asked questions about comparing LLMs

Which language model is the best?

There is none that is best at everything, and the ranking changes weekly. More useful than asking for the best model is asking which model fits which task – and whether you can switch it without rebuilding your solution.

What is the difference between Claude, GPT, Gemini and Mistral?

Claude is strong on long texts and careful editorial work, GPT is the broadest general-purpose tool, Gemini offers the largest context windows, and Mistral is a European provider with economical, fast models. On everyday tasks the differences are small.

What does context size mean?

It states how much text a model can take into account at once – your question, the uploaded files and the conversation so far, together. 1M characters of context roughly means that even an extensive set of contracts can be processed in one piece.

Can I use several models in parallel?

Yes. At novendix.AI all enabled models are available through the same access and can be switched at any time from the header – even in the middle of a conversation.

Are European models worse?

Not as a rule. Mistral is competitive on many everyday tasks and often more economical. On the hardest tasks the top models from Anthropic and OpenAI are currently ahead. For the data protection question it is the place of processing that decides anyway, not the origin of the model.