So wählen Sie Ihr KI-Modell 2025: Preise, Anwendungen und Vergleich
Praktischer Leitfaden zum Vergleich von KI-Modellen nach Budget und Anwendung.
In 2025, the AI model landscape is richer than ever. OpenAI (GPT-4o, o1), Anthropic (Claude), Google (Gemini), Mistral, DeepSeek and hundreds of specialized tools share the market. To choose the right model, three criteria matter: use case, budget and expected quality.
Price per million tokens
Most APIs charge by usage: input and output per million tokens. A 1,000-word article is about 1,500 input tokens; a long reply can generate 500–2,000. By comparing rates (input + output), you can easily estimate cost per conversation or project.
Main use cases
- Writing and SEO: GPT-4o, Claude, Gemini and dedicated tools (Writesonic, Jasper, Copy.ai) suit texts, blogs and marketing content. - Code and development: reasoning models (o1, Claude) and IDE assistants (Cursor, Codeium, GitHub Copilot) are built for programming. - Analysis and data: to extract information, summarize documents or structure data, general-purpose LLMs or specialized APIs (embedding, RAG) are a good fit.
Free tiers and subscriptions
Many models offer a free tier (ChatGPT, Claude, Gemini, Codeium, etc.). For regular professional use, compare cost per million tokens and monthly plans (ChatGPT Plus, Claude Pro, etc.) with our comparator.
In short: define your main use case and monthly budget, then use the Compare IA comparison table to filter by category and price. You’ll find the model that offers the best value for your needs.