AI Pirates
DE | EN
AI Pirates
DE | EN
concept

Kontextfenster

AI Basics

// Description

The Context Window is the maximum amount of text a Large Language Model can process simultaneously — measured in tokens. It includes both the input (prompt, system instruction, context) and the generated response. The larger the context window, the more information the model can consider at once.

Current context windows (March 2026): Gemini 3.1 Pro leads with 1 million tokens (~700,000 words), Claude Opus 4.6 offers 200,000 tokens (up to 1M via API), GPT-5.2 has 128,000 tokens. For comparison: GPT-3 had only 4,096 tokens in 2020 — a 250x increase in 6 years.

Why the context window matters: when analyzing long documents, reviewing code across entire repositories, or maintaining conversations with extensive context, the model needs space. A 128K token window holds about 300 pages of text — enough for an entire book or a comprehensive codebase. However, accuracy drops for most models in the middle of long contexts ("Lost in the Middle" problem).

Relevant for marketing: larger context windows enable better campaign analysis (all data at once), more consistent content series (previous parts as context), and more precise brand guideline adherence (complete guidelines in the prompt). RAG systems with large context windows can consider more relevant documents simultaneously.

// Use Cases

  • Analyzing long documents & reports
  • Code review across repositories
  • Consistent content series
  • Brand guideline adherence
  • RAG with many sources
  • Book summarization
  • Multi-turn conversations
  • Complex data analysis
// AI Pirates Assessment

For long documents and analyses, we use Gemini (1M tokens) or Claude (200K). For standard content, GPT-5.2's 128K tokens are more than sufficient. Context window size is an important criterion when choosing models.

// Frequently Asked Questions

What is a context window?
The context window is the maximum amount of text an AI model can process at once — input plus output combined. Measured in tokens: Gemini has 1M tokens, Claude 200K, GPT-5.2 128K. A larger window means more context for better responses.
Which model has the largest context window?
Gemini 3.1 Pro leads with 1 million tokens (~700,000 words). Claude offers up to 1M tokens via API. GPT-5.2 has 128K tokens. For most tasks, 128K tokens is more than sufficient — equivalent to about 300 pages of text.
Does context window size affect costs?
Yes — the more tokens in the context, the higher the cost per request. A 100K token context with GPT-5.2 costs $0.175 for input alone. That's why efficient prompt engineering matters: only include relevant information in the context.

// Related Entries

Token Concept LLM (Large Language Model) Concept Claude Tool Gemini Tool RAG (Retrieval-Augmented Generation) Concept

Need help with Kontextfenster?

We are happy to advise you on deployment, integration and strategy.

Get in touch